diff --git a/src/content/tables/min/Portfolio_estimate_results.csv b/src/content/tables/min/Portfolio_estimate_results.csv new file mode 100644 index 0000000..f7ab28b --- /dev/null +++ b/src/content/tables/min/Portfolio_estimate_results.csv @@ -0,0 +1,1067 @@ +CRRA,9.25239894900598 +time_to_estimate,48.589025259017944 +params,{'CRRA': 9.25239894900598} +criterion,0.6423583869781233 +start_criterion,4.052633631272849 +start_params,{'CRRA': 2.0} +algorithm,multistart_tranquilo_ls +direction,minimize +n_free,1 +message,Absolute criterion change smaller than tolerance. +success, +n_criterion_evaluations, +n_derivative_evaluations, +n_iterations, +history,"{'params': [{'CRRA': 8.1875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 9.00625}, {'CRRA': 7.3687499999999995}, {'CRRA': 9.026168169426626}, {'CRRA': 7.388668169426626}, {'CRRA': 9.038959312915338}, {'CRRA': 10.676459312915338}, {'CRRA': 9.290153724085462}, {'CRRA': 7.652653724085462}, {'CRRA': 9.235117007166322}, {'CRRA': 8.416367007166322}, {'CRRA': 9.1520466847697}, {'CRRA': 9.644492007166322}, {'CRRA': 9.248676532750787}, {'CRRA': 9.658051532750788}, {'CRRA': 9.252525969850202}, {'CRRA': 9.661900969850203}, {'CRRA': 9.25239894900598}], 'criterion': [0.6831279025699917, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.6443932011688029, 0.6443932011688029, 0.7818234415442095, 0.6440402472439135, 0.7787614029619838, 0.6439435808488991, 0.7100198965757869, 0.642415138936857, 0.740451029529312, 0.6424025578938513, 0.6665435566959452, 0.6426661753949429, 0.6484718333650715, 0.6423803321514743, 0.6489393340909813, 0.642358861106374, 0.6490529814080408, 0.6423583869781233], 'runtime': [0.0, 3.4489849999999933, 3.6109330999997837, 3.817344199999752, 4.0107014999994135, 4.255803499999274, 4.394585299999562, 4.573180399999728, 4.745453199999247, 4.923834899999747, 5.151547299999947, 5.299764999999752, 5.461142499999369, 14.779904499999247, 19.28656839999985, 20.45222250000006, 21.517919199999596, 22.584096699999463, 23.650703799999974, 24.71653839999999, 25.86146120000012, 26.92534589999923, 27.994960600000013, 29.059846299999663, 30.128043599999728, 31.272565999999642, 32.33865069999956, 33.404105999999956, 34.4730184, 35.540594499999315], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]}" +convergence_report, +multistart_info,"{'start_parameters': [{'CRRA': 8.1875}], 'local_optima': [Minimize with 1 free parameters terminated. + +The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 7.381e-07* 0.002468 +relative_params_change 1.373e-05 0.02307 +absolute_criterion_change 4.741e-07* 0.001585 +absolute_params_change 0.000127 0.2134 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.)], 'exploration_sample': [{'CRRA': 8.1875}, {'CRRA': 10.549999999999999}, {'CRRA': 12.9125}, {'CRRA': 5.824999999999999}, {'CRRA': 14.093749999999998}, {'CRRA': 15.274999999999999}, {'CRRA': 4.64375}, {'CRRA': 17.6375}, {'CRRA': 3.4625}, {'CRRA': 2.0}], 'exploration_results': array([0.6831279 , 0.69939713, 1.02360977, 1.18227674, 1.26376333, + 1.54278366, 1.78141341, 2.1808234 , 2.89794431, 4.05392049])}" +algorithm_output,"{'states': [State(trustregion=Region(center=array([8.1875]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=[0], model=ScalarModel(intercept=0.6831279025699917, linear_terms=array([0.]), square_terms=array([[0.]]), scale=0.8187500000000001, shift=array([8.1875])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=0, candidate_x=array([8.1875]), index=0, x=array([8.1875]), fval=0.6831279025699917, rho=nan, accepted=True, new_indices=[0], old_indices_used=[], old_indices_discarded=[], step_length=None, relative_step_length=None, n_evals_per_point=None, n_evals_acceptance=None), State(trustregion=Region(center=array([8.1875]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), model=ScalarModel(intercept=0.6798922337586231, linear_terms=array([-0.06848896]), square_terms=array([[0.06703103]]), scale=0.8187500000000001, shift=array([8.1875])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=13, candidate_x=array([9.00625]), index=13, x=array([9.00625]), fval=0.6443932011688028, rho=1.1075462640286373, accepted=True, new_indices=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), old_indices_used=array([0]), old_indices_discarded=array([], dtype=int32), step_length=0.8187499999999996, relative_step_length=0.9999999999999994, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.00625]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 1, 2, 12, 13, 14]), model=ScalarModel(intercept=0.6451809482519073, linear_terms=array([-0.00325077]), square_terms=array([[0.26725027]]), scale=1.6375000000000002, shift=array([9.00625])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=15, candidate_x=array([9.02616817]), index=15, x=array([9.02616817]), fval=0.6440402472439134, rho=17.852277387983314, accepted=True, new_indices=array([14]), old_indices_used=array([ 0, 1, 2, 12, 13]), old_indices_discarded=array([ 3, 4, 5, 6, 7, 8, 9, 10, 11]), step_length=0.019918169426626164, relative_step_length=0.012163767588779335, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.02616817]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 12, 13, 15, 16]), model=ScalarModel(intercept=0.6447879200688609, linear_terms=array([-0.00206742]), square_terms=array([[0.26466733]]), scale=1.6375000000000002, shift=array([9.02616817])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=17, candidate_x=array([9.03895931]), index=17, x=array([9.03895931]), fval=0.6439435808488991, rho=11.971513486470478, accepted=True, new_indices=array([16]), old_indices_used=array([ 0, 2, 12, 13, 15]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14]), step_length=0.012791143488712464, relative_step_length=0.007811385336618298, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.03895931]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 13, 15, 17, 18]), model=ScalarModel(intercept=0.640887156447643, linear_terms=array([-0.03350583]), square_terms=array([[0.21841968]]), scale=1.6375000000000002, shift=array([9.03895931])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=19, candidate_x=array([9.29015372]), index=19, x=array([9.29015372]), fval=0.6424151389368569, rho=0.5947436919672805, accepted=True, new_indices=array([18]), old_indices_used=array([ 0, 2, 13, 15, 17]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16]), step_length=0.25119441117012364, relative_step_length=0.15340116712679305, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.29015372]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 15, 18, 19, 20]), model=ScalarModel(intercept=0.6360123591878122, linear_terms=array([0.0077497]), square_terms=array([[0.23057571]]), scale=1.6375000000000002, shift=array([9.29015372])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=21, candidate_x=array([9.23511701]), index=21, x=array([9.23511701]), fval=0.6424025578938514, rho=0.09660301085246886, accepted=True, new_indices=array([20]), old_indices_used=array([ 0, 2, 15, 18, 19]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17]), step_length=0.05503671691914036, relative_step_length=0.033610208805581895, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.23511701]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 15, 17, 19, 21, 22]), model=ScalarModel(intercept=0.6429673760619858, linear_terms=array([0.0061267]), square_terms=array([[0.06038539]]), scale=0.8187500000000001, shift=array([9.23511701])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=23, candidate_x=array([9.15204668]), index=21, x=array([9.23511701]), fval=0.6424025578938514, rho=-0.8481705078488714, accepted=False, new_indices=array([22]), old_indices_used=array([ 2, 15, 17, 19, 21]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.23511701]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 15, 19, 21, 23, 24]), model=ScalarModel(intercept=0.6421324295697537, linear_terms=array([-0.00046788]), square_terms=array([[0.01412584]]), scale=0.40937500000000004, shift=array([9.23511701])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=25, candidate_x=array([9.24867653]), index=25, x=array([9.24867653]), fval=0.6423803321514744, rho=2.8683063839230534, accepted=True, new_indices=array([24]), old_indices_used=array([ 2, 15, 19, 21, 23]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, + 20, 22]), step_length=0.013559525584465604, relative_step_length=0.03312250524449613, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.24867653]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 19, 23, 24, 25, 26]), model=ScalarModel(intercept=0.6421484427735298, linear_terms=array([-0.00013227]), square_terms=array([[0.01406608]]), scale=0.40937500000000004, shift=array([9.24867653])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=27, candidate_x=array([9.25252597]), index=27, x=array([9.25252597]), fval=0.642358861106374, rho=34.526953193374496, accepted=True, new_indices=array([26]), old_indices_used=array([ 2, 19, 23, 24, 25]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, + 18, 20, 21, 22]), step_length=0.0038494370994150984, relative_step_length=0.009403205128342224, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.25252597]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 19, 23, 26, 27, 28]), model=ScalarModel(intercept=0.64214537534659, linear_terms=array([4.36033832e-06]), square_terms=array([[0.01405292]]), scale=0.40937500000000004, shift=array([9.25252597])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=29, candidate_x=array([9.25239895]), index=29, x=array([9.25239895]), fval=0.6423583869781233, rho=700.8934507833044, accepted=True, new_indices=array([28]), old_indices_used=array([ 2, 19, 23, 26, 27]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, + 18, 20, 21, 22, 24, 25]), step_length=0.00012702084422144821, relative_step_length=0.0003102799248157513, n_evals_per_point=1, n_evals_acceptance=1)], 'tranquilo_history': History for least_squares function with 30 entries., 'multistart_info': {'start_parameters': [array([8.1875])], 'local_optima': [{'solution_x': array([9.25239895]), 'solution_criterion': 0.6423583869781233, 'states': [State(trustregion=Region(center=array([8.1875]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=[0], model=ScalarModel(intercept=0.6831279025699917, linear_terms=array([0.]), square_terms=array([[0.]]), scale=0.8187500000000001, shift=array([8.1875])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=0, candidate_x=array([8.1875]), index=0, x=array([8.1875]), fval=0.6831279025699917, rho=nan, accepted=True, new_indices=[0], old_indices_used=[], old_indices_discarded=[], step_length=None, relative_step_length=None, n_evals_per_point=None, n_evals_acceptance=None), State(trustregion=Region(center=array([8.1875]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), model=ScalarModel(intercept=0.6798922337586231, linear_terms=array([-0.06848896]), square_terms=array([[0.06703103]]), scale=0.8187500000000001, shift=array([8.1875])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=13, candidate_x=array([9.00625]), index=13, x=array([9.00625]), fval=0.6443932011688028, rho=1.1075462640286373, accepted=True, new_indices=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), old_indices_used=array([0]), old_indices_discarded=array([], dtype=int32), step_length=0.8187499999999996, relative_step_length=0.9999999999999994, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.00625]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 1, 2, 12, 13, 14]), model=ScalarModel(intercept=0.6451809482519073, linear_terms=array([-0.00325077]), square_terms=array([[0.26725027]]), scale=1.6375000000000002, shift=array([9.00625])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=15, candidate_x=array([9.02616817]), index=15, x=array([9.02616817]), fval=0.6440402472439134, rho=17.852277387983314, accepted=True, new_indices=array([14]), old_indices_used=array([ 0, 1, 2, 12, 13]), old_indices_discarded=array([ 3, 4, 5, 6, 7, 8, 9, 10, 11]), step_length=0.019918169426626164, relative_step_length=0.012163767588779335, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.02616817]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 12, 13, 15, 16]), model=ScalarModel(intercept=0.6447879200688609, linear_terms=array([-0.00206742]), square_terms=array([[0.26466733]]), scale=1.6375000000000002, shift=array([9.02616817])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=17, candidate_x=array([9.03895931]), index=17, x=array([9.03895931]), fval=0.6439435808488991, rho=11.971513486470478, accepted=True, new_indices=array([16]), old_indices_used=array([ 0, 2, 12, 13, 15]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14]), step_length=0.012791143488712464, relative_step_length=0.007811385336618298, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.03895931]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 13, 15, 17, 18]), model=ScalarModel(intercept=0.640887156447643, linear_terms=array([-0.03350583]), square_terms=array([[0.21841968]]), scale=1.6375000000000002, shift=array([9.03895931])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=19, candidate_x=array([9.29015372]), index=19, x=array([9.29015372]), fval=0.6424151389368569, rho=0.5947436919672805, accepted=True, new_indices=array([18]), old_indices_used=array([ 0, 2, 13, 15, 17]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16]), step_length=0.25119441117012364, relative_step_length=0.15340116712679305, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.29015372]), radius=1.6375000000000002, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 0, 2, 15, 18, 19, 20]), model=ScalarModel(intercept=0.6360123591878122, linear_terms=array([0.0077497]), square_terms=array([[0.23057571]]), scale=1.6375000000000002, shift=array([9.29015372])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=21, candidate_x=array([9.23511701]), index=21, x=array([9.23511701]), fval=0.6424025578938514, rho=0.09660301085246886, accepted=True, new_indices=array([20]), old_indices_used=array([ 0, 2, 15, 18, 19]), old_indices_discarded=array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17]), step_length=0.05503671691914036, relative_step_length=0.033610208805581895, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.23511701]), radius=0.8187500000000001, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 15, 17, 19, 21, 22]), model=ScalarModel(intercept=0.6429673760619858, linear_terms=array([0.0061267]), square_terms=array([[0.06038539]]), scale=0.8187500000000001, shift=array([9.23511701])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=23, candidate_x=array([9.15204668]), index=21, x=array([9.23511701]), fval=0.6424025578938514, rho=-0.8481705078488714, accepted=False, new_indices=array([22]), old_indices_used=array([ 2, 15, 17, 19, 21]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.23511701]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 15, 19, 21, 23, 24]), model=ScalarModel(intercept=0.6421324295697537, linear_terms=array([-0.00046788]), square_terms=array([[0.01412584]]), scale=0.40937500000000004, shift=array([9.23511701])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=25, candidate_x=array([9.24867653]), index=25, x=array([9.24867653]), fval=0.6423803321514744, rho=2.8683063839230534, accepted=True, new_indices=array([24]), old_indices_used=array([ 2, 15, 19, 21, 23]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, + 20, 22]), step_length=0.013559525584465604, relative_step_length=0.03312250524449613, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.24867653]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 19, 23, 24, 25, 26]), model=ScalarModel(intercept=0.6421484427735298, linear_terms=array([-0.00013227]), square_terms=array([[0.01406608]]), scale=0.40937500000000004, shift=array([9.24867653])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=27, candidate_x=array([9.25252597]), index=27, x=array([9.25252597]), fval=0.642358861106374, rho=34.526953193374496, accepted=True, new_indices=array([26]), old_indices_used=array([ 2, 19, 23, 24, 25]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, + 18, 20, 21, 22]), step_length=0.0038494370994150984, relative_step_length=0.009403205128342224, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([9.25252597]), radius=0.40937500000000004, bounds=Bounds(lower=array([1.1]), upper=array([20.]))), model_indices=array([ 2, 19, 23, 26, 27, 28]), model=ScalarModel(intercept=0.64214537534659, linear_terms=array([4.36033832e-06]), square_terms=array([[0.01405292]]), scale=0.40937500000000004, shift=array([9.25252597])), vector_model=VectorModel(intercepts=array([ 0.04052564, 0.1019965 , 0.11618873, 0.15222976, 0.16876834, + 0.17571046, 0.17052397, -0.01190259, -0.1602348 , -0.14801994, + -0.48805873, -0.49085003, -0.08278535, -0.05708457, -0.04823565, + -0.0535541 , -0.06168149]), linear_terms=array([[0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.], + [0.]]), square_terms=array([[[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]], + + [[0.]]]), scale=0.8187500000000001, shift=array([8.1875])), candidate_index=29, candidate_x=array([9.25239895]), index=29, x=array([9.25239895]), fval=0.6423583869781233, rho=700.8934507833044, accepted=True, new_indices=array([28]), old_indices_used=array([ 2, 19, 23, 26, 27]), old_indices_discarded=array([ 0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, + 18, 20, 21, 22, 24, 25]), step_length=0.00012702084422144821, relative_step_length=0.0003102799248157513, n_evals_per_point=1, n_evals_acceptance=1)], 'message': 'Absolute criterion change smaller than tolerance.', 'tranquilo_history': History for least_squares function with 30 entries., 'history': {'params': [{'CRRA': 8.1875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 7.36875}, {'CRRA': 9.00625}, {'CRRA': 9.00625}, {'CRRA': 7.3687499999999995}, {'CRRA': 9.026168169426626}, {'CRRA': 7.388668169426626}, {'CRRA': 9.038959312915338}, {'CRRA': 10.676459312915338}, {'CRRA': 9.290153724085462}, {'CRRA': 7.652653724085462}, {'CRRA': 9.235117007166322}, {'CRRA': 8.416367007166322}, {'CRRA': 9.1520466847697}, {'CRRA': 9.644492007166322}, {'CRRA': 9.248676532750787}, {'CRRA': 9.658051532750788}, {'CRRA': 9.252525969850202}, {'CRRA': 9.661900969850203}, {'CRRA': 9.25239894900598}], 'criterion': [0.6831279025699917, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.6443932011688029, 0.7818234415442017, 0.6443932011688029, 0.6443932011688029, 0.7818234415442095, 0.6440402472439135, 0.7787614029619838, 0.6439435808488991, 0.7100198965757869, 0.642415138936857, 0.740451029529312, 0.6424025578938513, 0.6665435566959452, 0.6426661753949429, 0.6484718333650715, 0.6423803321514743, 0.6489393340909813, 0.642358861106374, 0.6490529814080408, 0.6423583869781233], 'runtime': [0.0, 3.4489849999999933, 3.6109330999997837, 3.817344199999752, 4.0107014999994135, 4.255803499999274, 4.394585299999562, 4.573180399999728, 4.745453199999247, 4.923834899999747, 5.151547299999947, 5.299764999999752, 5.461142499999369, 14.779904499999247, 19.28656839999985, 20.45222250000006, 21.517919199999596, 22.584096699999463, 23.650703799999974, 24.71653839999999, 25.86146120000012, 26.92534589999923, 27.994960600000013, 29.059846299999663, 30.128043599999728, 31.272565999999642, 32.33865069999956, 33.404105999999956, 34.4730184, 35.540594499999315], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]}, 'multistart_info': {...}}], 'exploration_sample': array([[ 8.1875 ], + [10.55 ], + [12.9125 ], + [ 5.825 ], + [14.09375], + [15.275 ], + [ 4.64375], + [17.6375 ], + [ 3.4625 ], + [ 2. ]]), 'exploration_results': array([0.6831279 , 0.69939713, 1.02360977, 1.18227674, 1.26376333, + 1.54278366, 1.78141341, 2.1808234 , 2.89794431, 4.05392049])}}" diff --git a/src/content/tables/min/WarmGlowPortfolio_estimate_results.csv b/src/content/tables/min/WarmGlowPortfolio_estimate_results.csv new file mode 100644 index 0000000..d7ba4a2 --- /dev/null +++ b/src/content/tables/min/WarmGlowPortfolio_estimate_results.csv @@ -0,0 +1,22826 @@ +CRRA,4.566574857120897 +BeqMPC,0.12784174628499245 +BeqInt,0.430489020038743 +time_to_estimate,376.72283720970154 +params,"{'CRRA': 4.566574857120897, 'BeqMPC': 0.12784174628499245, 'BeqInt': 0.430489020038743}" +criterion,0.04578156739482431 +start_criterion,2.2154478729302785 +start_params,"{'CRRA': 2.0, 'BeqMPC': 0.1, 'BeqInt': 1.0}" +algorithm,multistart_tranquilo_ls +direction,minimize +n_free,3 +message,Maximum number of criterion evaluations reached. +success, +n_criterion_evaluations, +n_derivative_evaluations, +n_iterations, +history,"{'params': [{'CRRA': 9.36875, 'BeqMPC': 0.5625, 'BeqInt': 1.875}, {'CRRA': 8.61363251904041, 'BeqMPC': 0.006077749704065716, 'BeqInt': 2.471637857654141}, {'CRRA': 10.123867480959591, 'BeqMPC': 0.03297799421604308, 'BeqInt': 2.614995275413359}, {'CRRA': 10.115068383033217, 'BeqMPC': 1.0, 'BeqInt': 2.4401549031160075}, {'CRRA': 9.323753591502346, 'BeqMPC': 1.0, 'BeqInt': 1.1275516276061728}, {'CRRA': 9.049751441591749, 'BeqMPC': 1.0, 'BeqInt': 2.6015578806402897}, {'CRRA': 10.099232455395924, 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100, 101, 102, 103, 104, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 106]}" +convergence_report, +multistart_info,"{'start_parameters': [{'CRRA': 9.36875, 'BeqMPC': 0.5625, 'BeqInt': 1.875}, {'CRRA': 6.346585391303142, 'BeqMPC': 0.4568357851782139, 'BeqInt': 1.437245319506724}, {'CRRA': 5.55617212171266, 'BeqMPC': 0.12158579427955185, 'BeqInt': 1.8998029114108725}], 'local_optima': [Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Maximum number of criterion evaluations reached. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 0.000395 0.01551 +relative_params_change 0.01171 0.08418 +absolute_criterion_change 3.95e-05 0.001551 +absolute_params_change 0.01469 0.03961 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 1.063e-07* 9.558e-05 +relative_params_change 0.0007721 0.04758 +absolute_criterion_change 6.816e-08* 6.129e-05 +absolute_params_change 0.0008454 0.1572 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Relative criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 0*** 0.475 +relative_params_change 0*** 0.6478 +absolute_criterion_change 0*** 0.0475 +absolute_params_change 0*** 0.2909 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.)], 'exploration_sample': [{'CRRA': 9.368749999999999, 'BeqMPC': 0.5625, 'BeqInt': 1.875}, {'CRRA': 8.778125, 'BeqMPC': 0.90625, 'BeqInt': 2.8125}, {'CRRA': 9.959375, 'BeqMPC': 0.09375, 'BeqInt': 8.4375}, {'CRRA': 8.1875, 'BeqMPC': 0.375, 'BeqInt': 6.25}, {'CRRA': 10.549999999999999, 'BeqMPC': 0.5, 'BeqInt': 5.0}, {'CRRA': 7.596874999999999, 'BeqMPC': 0.71875, 'BeqInt': 7.1875}, {'CRRA': 7.00625, 'BeqMPC': 0.1875, 'BeqInt': 3.125}, {'CRRA': 11.73125, 'BeqMPC': 0.4375, 'BeqInt': 0.625}, {'CRRA': 6.415625, 'BeqMPC': 0.28125, 'BeqInt': 1.5625}, {'CRRA': 12.321874999999999, 'BeqMPC': 0.96875, 'BeqInt': 9.6875}, {'CRRA': 12.9125, 'BeqMPC': 0.125, 'BeqInt': 8.75}, {'CRRA': 5.824999999999999, 'BeqMPC': 0.75, 'BeqInt': 7.5}, {'CRRA': 13.503124999999999, 'BeqMPC': 0.65625, 'BeqInt': 0.3125}, {'CRRA': 5.234375, 'BeqMPC': 0.84375, 'BeqInt': 0.9375}, {'CRRA': 14.093749999999998, 'BeqMPC': 0.8125, 'BeqInt': 4.375}, {'CRRA': 14.684375, 'BeqMPC': 0.34375, 'BeqInt': 5.9375}, {'CRRA': 4.64375, 'BeqMPC': 0.3125, 'BeqInt': 9.375}, {'CRRA': 15.274999999999999, 'BeqMPC': 0.25, 'BeqInt': 2.5}, {'CRRA': 2.0, 'BeqMPC': 0.1, 'BeqInt': 1.0}, {'CRRA': 4.053125, 'BeqMPC': 0.15625, 'BeqInt': 5.3125}, {'CRRA': 15.865624999999998, 'BeqMPC': 0.78125, 'BeqInt': 6.5625}, {'CRRA': 3.4625, 'BeqMPC': 0.625, 'BeqInt': 3.75}, {'CRRA': 16.45625, 'BeqMPC': 0.6875, 'BeqInt': 8.125}, {'CRRA': 17.046875, 'BeqMPC': 0.21875, 'BeqInt': 2.1875}, {'CRRA': 2.871875, 'BeqMPC': 0.46875, 'BeqInt': 4.6875}, {'CRRA': 2.28125, 'BeqMPC': 0.9375, 'BeqInt': 5.625}, {'CRRA': 17.6375, 'BeqMPC': 0.875, 'BeqInt': 1.25}, {'CRRA': 18.228125, 'BeqMPC': 0.40625, 'BeqInt': 7.8125}, {'CRRA': 18.81875, 'BeqMPC': 0.0625, 'BeqInt': 6.875}, {'CRRA': 19.409375, 'BeqMPC': 0.59375, 'BeqInt': 3.4375}], 'exploration_results': array([0.64209144, 0.6484228 , 0.66164058, 0.68191617, 0.70447659, + 0.74714836, 0.84712201, 0.86239976, 0.97173338, 0.97951322, + 1.12431839, 1.18220474, 1.30410663, 1.42368725, 1.52011014, + 1.78024917, 1.78133902, 2.09714539, 2.22564378, 2.24371068, + 2.48116605, 2.89497477, 2.94379242, 3.49762974, 3.76794921, + 4.13898884, 4.16035282, 4.94978648, 5.89491246, 7.00125067])}" +algorithm_output,"{'states': [State(trustregion=Region(center=array([9.36875, 0.5625 , 1.875 ]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=[0], model=ScalarModel(intercept=0.6420914370117922, linear_terms=array([0., 0., 0.]), square_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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model=ScalarModel(intercept=0.2698667309739353, linear_terms=array([-0.00176643, -0.0915636 , -0.01438388]), square_terms=array([[0.00126454, 0.02169697, 0.00300477], + [0.02169697, 0.38480842, 0.05483301], + [0.00300477, 0.05483301, 0.00820954]]), scale=0.029277343750000004, shift=array([8.03376486, 0.08760404, 0.92598076])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 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fval=0.2646416385863793, rho=-1.3115332629289709, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([80, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, 95]), old_indices_discarded=array([83, 86, 96]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.03376486, 0.08760404, 0.92598076]), radius=0.014638671875000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([80, 84, 85, 87, 88, 90, 91, 92, 93, 94, 95, 97]), model=ScalarModel(intercept=0.2626514388885499, linear_terms=array([ 0.00010328, -0.03206936, -0.00441333]), square_terms=array([[0.00033927, 0.00650867, 0.00074125], + [0.00650867, 0.12885265, 0.01511029], + [0.00074125, 0.01511029, 0.00187314]]), scale=0.014638671875000002, shift=array([8.03376486, 0.08760404, 0.92598076])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 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, 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 80, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, + 109, 110]), model=ScalarModel(intercept=0.26411924875080955, linear_terms=array([0.00095445, 0.01285365, 0.00141482]), square_terms=array([[ 2.28941637e-06, 2.35749484e-05, -2.94594561e-07], + [ 2.35749484e-05, 1.41393794e-02, 2.01312059e-03], + [-2.94594561e-07, 2.01312059e-03, 3.11335990e-04]]), scale=0.007319335937500001, shift=array([8.03376486, 0.08760404, 0.92598076])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=111, candidate_x=array([8.02899628, 0.08141323, 0.92718869]), index=111, x=array([8.02899628, 0.08141323, 0.92718869]), fval=0.25750226933848935, rho=1.10418742256287, accepted=True, new_indices=array([ 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110]), old_indices_used=array([80, 97, 98]), old_indices_discarded=array([], dtype=int32), step_length=0.007907246165909208, relative_step_length=1.0803228917799903, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.02899628, 0.08141323, 0.92718869]), radius=0.014638671875000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 80, 98, 100, 101, 102, 103, 104, 105, 106, 109, 110, 111]), model=ScalarModel(intercept=0.25756065426708996, linear_terms=array([ 0.00199661, 0.0021075 , -0.00047477]), square_terms=array([[1.17344234e-05, 2.06225278e-04, 1.42829196e-05], + [2.06225278e-04, 5.94016246e-02, 8.87237507e-03], + [1.42829196e-05, 8.87237507e-03, 1.42185163e-03]]), scale=0.014638671875000002, shift=array([8.02899628, 0.08141323, 0.92718869])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], 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109, 110, 111]), old_indices_discarded=array([ 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, + 97, 99, 107, 108]), step_length=0.014639238680382164, relative_step_length=1.0000387197272405, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.01527867, 0.08023991, 0.93216443]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 80, 97, 98, 99, 102, 103, 105, 106, 108, 109, 110, 112]), model=ScalarModel(intercept=0.25557294585397866, linear_terms=array([ 0.00376402, 0.00068477, -0.00140128]), square_terms=array([[ 3.85474356e-05, -1.40655295e-04, -8.01634486e-05], + [-1.40655295e-04, 2.24240890e-01, 2.79517572e-02], + [-8.01634486e-05, 2.79517572e-02, 3.90913708e-03]]), scale=0.029277343750000004, shift=array([8.01527867, 0.08023991, 0.93216443])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + 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0.07897472, 0.94163537]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 91, 92, 93, 94, 96, 97, 98, 105, 108, 110, 112, 113]), model=ScalarModel(intercept=0.28516341696355607, linear_terms=array([-0.0348788 , -0.44893817, -0.06386307]), square_terms=array([[0.02575421, 0.27988422, 0.03770486], + [0.27988422, 3.05637596, 0.41515559], + [0.03770486, 0.41515559, 0.05855899]]), scale=0.05855468750000001, shift=array([7.98760329, 0.07897472, 0.94163537])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 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scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=114, candidate_x=array([7.93325024, 0.08996168, 0.96054351]), index=113, x=array([7.98760329, 0.07897472, 0.94163537]), fval=0.2518253940479693, rho=-0.5649694152971811, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 91, 92, 93, 94, 96, 97, 98, 105, 108, 110, 112, 113]), old_indices_discarded=array([ 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 95, 99, + 100, 101, 102, 103, 104, 106, 107, 109, 111]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.98760329, 0.07897472, 0.94163537]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 91, 92, 96, 97, 98, 99, 103, 104, 107, 111, 112, 113]), model=ScalarModel(intercept=0.25206457358381495, linear_terms=array([ 0.0025212 , -0.00522502, -0.00353386]), 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133, 134, 135]), model=ScalarModel(intercept=0.23431993978518403, linear_terms=array([ 0.00141111, 0.00161197, -0.00022914]), square_terms=array([[ 8.64411987e-05, -2.79008686e-03, -3.44106985e-04], + [-2.79008686e-03, 1.06148198e-01, 1.18460680e-02], + [-3.44106985e-04, 1.18460680e-02, 1.46563956e-03]]), scale=0.014638671875000002, shift=array([7.84717277, 0.07269723, 0.98071039])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + 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index=136, x=array([7.8329471 , 0.07174369, 0.98403066]), fval=0.23285620028825244, rho=1.0651203539182108, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([118, 122, 123, 124, 125, 126, 128, 130, 132, 133, 134, 135]), old_indices_discarded=array([116, 120, 121, 127, 129, 131]), step_length=0.014639099964750222, relative_step_length=1.0000292437561191, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.8329471 , 0.07174369, 0.98403066]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 121, 122, 123, 124, 125, 126, 130, 132, 133, 134, 136]), model=ScalarModel(intercept=0.23273012165796225, linear_terms=array([ 0.00310676, -0.00634259, -0.0013698 ]), square_terms=array([[ 5.23491196e-05, -2.26959544e-03, -3.48695877e-04], + [-2.26959544e-03, 4.00964639e-01, 4.42415187e-02], + [-3.48695877e-04, 4.42415187e-02, 5.46492304e-03]]), scale=0.029277343750000004, shift=array([7.8329471 , 0.07174369, 0.98403066])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], 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129, 131, 135]), step_length=0.030923890015162492, relative_step_length=1.0562396055879382, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.80239335, 0.07150984, 0.9887952 ]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 120, 121, 122, 123, 124, 125, 126, 130, 133, 136, 137]), model=ScalarModel(intercept=0.22930593014265016, linear_terms=array([ 0.00623307, 0.00139973, -0.00054408]), square_terms=array([[ 2.58450977e-04, -9.77422300e-03, -1.16478572e-03], + [-9.77422300e-03, 1.03381319e+00, 8.30798210e-02], + [-1.16478572e-03, 8.30798210e-02, 8.90069505e-03]]), scale=0.05855468750000001, shift=array([7.80239335, 0.07150984, 0.9887952 ])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, 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State(trustregion=Region(center=array([7.74258612, 0.07071819, 0.99068002]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 119, 120, 121, 122, 124, 125, 126, 133, 136, 137, 138]), model=ScalarModel(intercept=0.24681872953291428, linear_terms=array([ 1.45849252e-05, 3.18121775e-01, -3.07412690e-02]), square_terms=array([[ 0.00266805, -0.06851178, 0.00680684], + [-0.06851178, 2.11165199, -0.23982561], + [ 0.00680684, -0.23982561, 0.03449164]]), scale=array([0.09438969, 0.08255394, 0.09438969]), shift=array([7.74258612, 0.08255394, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 123, 124, 128, 129, 135, 136, 137, 138]), model=ScalarModel(intercept=0.22293033517778638, linear_terms=array([0.0061061 , 0.01130142, 0.00204549]), square_terms=array([[ 1.03886328e-03, -3.02439572e-02, 2.81425240e-03], + [-3.02439572e-02, 1.05383469e+00, -1.11131149e-01], + [ 2.81425240e-03, -1.11131149e-01, 1.45525495e-02]]), scale=0.05855468750000001, shift=array([7.74258612, 0.07071819, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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1.875 ])), candidate_index=140, candidate_x=array([7.68664375, 0.06621721, 0.96890637]), index=138, x=array([7.74258612, 0.07071819, 0.99068002]), fval=0.22286338530080188, rho=-0.8079559763710539, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 121, 122, 123, 124, 128, 129, 135, 136, 137, 138]), old_indices_discarded=array([ 82, 83, 91, 92, 93, 94, 96, 97, 98, 107, 112, 113, 114, + 115, 116, 117, 118, 125, 126, 127, 130, 131, 132, 133, 134, 139]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.74258612, 0.07071819, 0.99068002]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 123, 124, 129, 135, 136, 137, 138, 140]), model=ScalarModel(intercept=0.2239413059252966, linear_terms=array([ 0.00297597, -0.0206017 , 0.00113047]), square_terms=array([[ 4.69143447e-05, 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old_indices_used=array([119, 120, 121, 122, 123, 124, 129, 135, 136, 137, 138, 140]), old_indices_discarded=array([117, 118, 125, 126, 127, 128, 130, 131, 132, 133, 134, 139]), step_length=0.029957997559679685, relative_step_length=1.023248482358639, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.71417813, 0.0729572 , 0.98143587]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 129, 135, 136, 137, 138, 139, 140, 141]), model=ScalarModel(intercept=0.22040402238892187, linear_terms=array([ 0.00574929, -0.03191014, -0.00332637]), square_terms=array([[3.27243290e-04, 1.60670207e-02, 1.81545554e-03], + [1.60670207e-02, 1.43659315e+00, 1.99099486e-01], + [1.81545554e-03, 1.99099486e-01, 3.13064314e-02]]), scale=0.05855468750000001, shift=array([7.71417813, 0.0729572 , 0.98143587])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 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106, 107, 108, 109, + 110, 111, 112, 113, 114, 115, 116, 118, 121, 122, 123, 124, 125, + 126, 127, 128, 129, 130, 131, 132, 133, 134, 135]), step_length=0.38200212553289437, relative_step_length=0.815481522151609, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 114, 117, 119, 132, 137, 139, 140, 143, 144, 145]), model=ScalarModel(intercept=0.5952256268553571, linear_terms=array([0.11410682, 1.24929538, 0.22345221]), square_terms=array([[ 0.02780675, 0.0636425 , -0.05552575], + [ 0.0636425 , 1.7674034 , 0.37131557], + [-0.05552575, 0.37131557, 0.66954534]]), scale=array([0.75511748, 0.41693639, 0.75511748]), shift=array([7.00227691, 0.41693639, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, + 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, + 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 118, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, + 136, 138, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]), model=ScalarModel(intercept=3.2750122741025782, linear_terms=array([ 0.02448497, 10.17783148, 2.16814968]), square_terms=array([[ 1.06554000e-02, -1.22079981e-02, -3.67375290e-02], + [-1.22079981e-02, 1.65708771e+01, 3.52003515e+00], + [-3.67375290e-02, 3.52003515e+00, 9.42927661e-01]]), scale=array([0.37755874, 0.22815702, 0.37755874]), shift=array([7.00227691, 0.22815702, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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13, 14, 15, 16, 17, 18, 19, 20, 21, + 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, + 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, + 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, + 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, + 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, + 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, + 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, + 128, 129, 130, 131, 132, 133, 134, 135, 136]), step_length=0.3859905081480779, relative_step_length=0.8239957478811535, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.62471817, 0.09785853, 0.78588371]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), model=ScalarModel(intercept=17.204505899465673, linear_terms=array([ 0.15483071, 43.69169803, 7.03043101]), square_terms=array([[ 4.40904386e-02, 1.23102882e-01, -1.27049447e-01], + [ 1.23102882e-01, 5.58687935e+01, 9.00769457e+00], + [-1.27049447e-01, 9.00769457e+00, 2.29138016e+00]]), scale=array([0.75511748, 0.42648801, 0.75511748]), shift=array([6.62471817, 0.42648801, 0.78588371])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=148, candidate_x=array([5.86960069, 0.10479103, 0.66624553]), index=148, x=array([5.86960069, 0.10479103, 0.66624553]), fval=0.08039107118280965, rho=1.1103743902331384, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, + 132, 133, 134, 135, 136, 137]), step_length=0.7645676959215466, relative_step_length=0.816082930936941, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.86960069, 0.10479103, 0.66624553]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), model=ScalarModel(intercept=27.08757097179497, linear_terms=array([-0.34462358, 61.42128644, 13.05324413]), square_terms=array([[ 0.14371819, -0.33025874, -0.40107957], + [-0.33025874, 70.1263393 , 14.24446062], + [-0.40107957, 14.24446062, 4.36264181]]), scale=array([1.51023496, 0.5 , 1.08824025]), shift=array([5.86960069, 0.5 , 1.08824025])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=149, candidate_x=array([4.35936573, 0.12268659, 0.41347298]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=0.5649533931433475, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, + 131, 132, 133, 134, 135, 136, 137]), step_length=1.5313470728428766, relative_step_length=0.817263281036892, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=3.7475000000000005, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), model=ScalarModel(intercept=8.518438145662957, linear_terms=array([-5.710938 , 5.29331738, 15.83871196]), square_terms=array([[ 2.27307925, -1.57230677, -5.59695524], + [-1.57230677, 1.94131818, 4.64526088], + [-5.59695524, 4.64526088, 15.10684279]]), scale=array([3.02046992, 0.5 , 1.71697145]), shift=array([4.35936573, 0.5 , 1.71697145])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + 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96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, + 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, + 135, 136, 137, 138, 139, 140, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150]), model=ScalarModel(intercept=20.176863822850184, linear_terms=array([-7.75202783, 27.72899022, 34.94959428]), square_terms=array([[ 1.91497452, -4.69825709, -7.7412449 ], + [-4.69825709, 20.05782794, 22.48109099], + [-7.7412449 , 22.48109099, 32.87793932]]), scale=array([1.51023496, 0.5 , 0.96185397]), shift=array([4.35936573, 0.5 , 0.96185397])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, + 130, 131, 132, 133, 134, 135, 136, 137, 138]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), model=ScalarModel(intercept=26.573430124431628, linear_terms=array([ 1.84035838, 75.84856055, 3.10106805]), square_terms=array([[ 1.11405179e-01, 2.63586115e+00, -1.20229262e-02], + [ 2.63586115e+00, 1.08415824e+02, 4.43466602e+00], 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151]), old_indices_discarded=array([ 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, + 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, + 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, + 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, + 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, + 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, + 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, + 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, + 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([146, 147, 148, 149, 150, 151, 152]), model=ScalarModel(intercept=4.216755970553032, 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0.41347298]), fval=0.0553792803624863, rho=-0.3323781078100622, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([146, 147, 148, 149, 150, 151, 152]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 150, 151, 152, 153]), model=ScalarModel(intercept=0.5414960094081812, linear_terms=array([0.07256309, 5.3047706 , 0.38990336]), square_terms=array([[ 2.81144197e-02, 5.09549719e-01, -2.11153453e-02], + [ 5.09549719e-01, 2.84641428e+01, 1.77855861e+00], + [-2.11153453e-02, 1.77855861e+00, 2.60521305e-01]]), scale=array([0.18877937, 0.15573298, 0.18877937]), shift=array([4.35936573, 0.15573298, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166]), model=ScalarModel(intercept=1.1679478057033899, linear_terms=array([ 0.36136865, -7.44578414, -1.42989868]), square_terms=array([[ 0.05897121, -1.20626897, -0.23260914], + [-1.20626897, 24.82447042, 4.77121331], + [-0.23260914, 4.77121331, 0.92085919]]), scale=0.11710937500000002, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=167, candidate_x=array([4.66548747, 0.16743749, 0.39441274]), index=154, x=array([4.5481451 , 0.12427896, 0.40654176]), fval=0.05441380029102107, rho=-0.08145102845200289, accepted=False, new_indices=array([155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166]), old_indices_used=array([149, 153, 154]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.5481451 , 0.12427896, 0.40654176]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 155, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166]), model=ScalarModel(intercept=1.3163547372434563, linear_terms=array([ 0.3310896 , -4.05756846, -0.39078948]), square_terms=array([[ 0.04403314, -0.5337665 , -0.05118331], + [-0.5337665 , 6.51219135, 0.62823552], 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step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.56657486, 0.12784175, 0.43048902]), radius=0.007319335937500001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([170, 174, 177, 178, 180, 182, 183, 184, 185, 188, 189, 190]), model=ScalarModel(intercept=0.04583916094531057, linear_terms=array([-1.29289750e-05, 5.45076473e-05, 2.46037451e-05]), square_terms=array([[ 4.28064607e-06, -1.13416024e-04, -2.73672582e-05], + [-1.13416024e-04, 1.84464331e-02, 3.19349190e-03], + [-2.73672582e-05, 3.19349190e-03, 5.70486450e-04]]), scale=0.007319335937500001, shift=array([4.56657486, 0.12784175, 0.43048902])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), 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x=array([4.56657486, 0.12784175, 0.43048902]), fval=0.04578156739482431, rho=-2.828014715842104, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([174, 183, 184, 185, 188, 190, 191]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.56657486, 0.12784175, 0.43048902]), radius=0.0018298339843750002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([188, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, + 203, 204]), model=ScalarModel(intercept=0.04579614048024409, linear_terms=array([-6.81280208e-06, 5.33073550e-05, -1.20531992e-05]), square_terms=array([[ 2.42604712e-07, -4.72274497e-06, -1.24718988e-06], + [-4.72274497e-06, 1.02892770e-03, 1.62701816e-04], + [-1.24718988e-06, 1.62701816e-04, 2.69529900e-05]]), scale=0.0018298339843750002, shift=array([4.56657486, 0.12784175, 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model=ScalarModel(intercept=0.42036357518182027, linear_terms=array([ 0.02027418, -0.00427005, 0.00806155]), square_terms=array([[ 0.02039653, -0.02544233, -0.00861313], + [-0.02544233, 0.03361346, 0.01132775], + [-0.00861313, 0.01132775, 0.00401288]]), scale=array([0.18877937, 0.18686031, 0.18877937]), shift=array([8.99119126, 0.18686031, 1.49744126])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], 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0.13213368, 1.30866189]), fval=0.5914182447528958, rho=1.629571598125085, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 1, 4, 7, 8, 10, 11, 13, 14]), old_indices_discarded=array([], dtype=int32), step_length=0.2721469112683861, relative_step_length=1.1619347779304008, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.80241189, 0.13213368, 1.30866189]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 1, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15]), model=ScalarModel(intercept=0.4381489511354463, linear_terms=array([-0.00501436, 0.05107646, 0.03000598]), square_terms=array([[ 0.03323646, -0.03236631, -0.00871056], + [-0.03236631, 0.03632883, 0.01003181], + [-0.00871056, 0.01003181, 0.00329967]]), scale=array([0.37755874, 0.25484621, 0.37755874]), shift=array([8.80241189, 0.25484621, 1.30866189])), vector_model=VectorModel(intercepts=array([ 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radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 4, 7, 10, 11, 13, 14, 15, 16]), model=ScalarModel(intercept=0.44056521047139713, linear_terms=array([-0.05214397, 0.03854019, 0.01716917]), square_terms=array([[ 0.04399301, -0.02076642, -0.00927462], + [-0.02076642, 0.01012938, 0.00451899], + [-0.00927462, 0.00451899, 0.00201652]]), scale=array([0.18877937, 0.16045653, 0.18877937]), shift=array([8.80241189, 0.16045653, 1.30866189])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 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scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=17, candidate_x=array([8.8972582 , 0. , 1.11988252]), index=15, x=array([8.80241189, 0.13213368, 1.30866189]), fval=0.5914182447528958, rho=-1.2212717016925247, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 4, 7, 10, 11, 13, 14, 15, 16]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.80241189, 0.13213368, 1.30866189]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([10, 13, 14, 15, 16, 17]), model=ScalarModel(intercept=0.7177652395546941, linear_terms=array([-0.28796049, -0.07452639, 0.26884489]), square_terms=array([[ 0.13320026, 0.03252886, -0.11712 ], + [ 0.03252886, 0.00797051, -0.02870345], + [-0.11712 , -0.02870345, 0.10337189]]), scale=0.11710937500000002, 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State(trustregion=Region(center=array([8.80241189, 0.13213368, 1.30866189]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([14, 15, 17, 18]), model=ScalarModel(intercept=0.591418244752896, linear_terms=array([ 0.02002549, 0.00265975, -0.00789276]), square_terms=array([[ 5.18866531e-04, 9.16654312e-05, -2.21394432e-04], + [ 9.16654312e-05, 2.28209847e-05, -5.38596077e-05], + [-2.21394432e-04, -5.38596077e-05, 1.37948553e-04]]), scale=0.05855468750000001, shift=array([8.80241189, 0.13213368, 1.30866189])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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80, 82]), old_indices_discarded=array([36, 37, 54, 55, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, + 72]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.03376486, 0.08760404, 0.92598076]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([79, 80, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95]), model=ScalarModel(intercept=0.28727461971196633, linear_terms=array([-0.03211657, -0.26792345, -0.00232968]), square_terms=array([[2.66175521e-02, 1.85403890e-01, 2.84530534e-04], + [1.85403890e-01, 1.29596445e+00, 2.73363157e-03], + [2.84530534e-04, 2.73363157e-03, 1.32855900e-03]]), scale=0.05855468750000001, shift=array([8.03376486, 0.08760404, 0.92598076])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + 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linear_terms=array([ 0.0025212 , -0.00522502, -0.00353386]), square_terms=array([[0.00151159, 0.01655084, 0.00446929], + [0.01655084, 0.18552131, 0.0509705 ], + [0.00446929, 0.0509705 , 0.01442459]]), scale=0.029277343750000004, shift=array([7.98760329, 0.07897472, 0.94163537])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 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accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 91, 92, 96, 97, 98, 99, 103, 104, 107, 111, 112, 113]), old_indices_discarded=array([ 80, 83, 84, 85, 86, 87, 88, 89, 90, 93, 94, 95, 100, + 101, 102, 105, 106, 108, 109, 110, 114]), step_length=0.029294238404060747, relative_step_length=1.0005770555623148, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.96258088, 0.0778777 , 0.95682839]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 91, 92, 93, 96, 97, 98, 104, 107, 112, 113, 114, 115]), model=ScalarModel(intercept=0.2500485516221731, linear_terms=array([-0.02963258, -0.12378464, -0.11123906]), square_terms=array([[0.3208566 , 1.11800004, 0.95954936], + [1.11800004, 3.89860552, 3.3472657 ], + [0.95954936, 3.3472657 , 2.87457318]]), scale=0.05855468750000001, shift=array([7.96258088, 0.0778777 , 0.95682839])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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step_length=0.05882232337249272, relative_step_length=1.0045706993567802, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.91255359, 0.06872322, 0.98638396]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), model=ScalarModel(intercept=0.24256549796634347, linear_terms=array([ 0.01611498, -0.02082813, 0.00237997]), square_terms=array([[ 0.04596951, -0.25881578, 0.01435203], + [-0.25881578, 1.50491523, -0.0866643 ], + [ 0.01435203, -0.0866643 , 0.00563673]]), scale=array([0.09438969, 0.08155645, 0.09438969]), shift=array([7.91255359, 0.08155645, 0.98638396])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), model=ScalarModel(intercept=0.2644739451869318, linear_terms=array([ 0.03526114, -0.18497117, 0.00993612]), square_terms=array([[ 0.01769066, -0.11527396, 0.00552316], + [-0.11527396, 0.77574452, -0.03859941], + [ 0.00552316, -0.03859941, 0.00216921]]), scale=0.05855468750000001, shift=array([7.91255359, 0.06872322, 0.98638396])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=118, candidate_x=array([7.854204 , 0.07359509, 0.97888241]), index=118, x=array([7.854204 , 0.07359509, 0.97888241]), fval=0.23543433540162922, rho=0.30937704435683216, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), old_indices_discarded=array([ 80, 82, 84, 85, 86, 87, 88, 89, 90, 94, 95, 99, 100, + 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 117]), step_length=0.05903120639298343, relative_step_length=1.0081380144498837, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 113, 114, 115, 116, 117, 118]), model=ScalarModel(intercept=0.2451050908063041, linear_terms=array([-0.00801689, 0.17264046, 0.04599671]), square_terms=array([[ 0.0189438 , -0.1701301 , -0.04876625], + [-0.1701301 , 1.55280868, 0.44178379], + [-0.04876625, 0.44178379, 0.13119651]]), scale=array([0.09438969, 0.08399239, 0.09438969]), shift=array([7.854204 , 0.08399239, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + 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dtype=int32), old_indices_used=array([ 83, 91, 92, 93, 96, 97, 113, 114, 115, 116, 117, 118]), old_indices_discarded=array([ 16, 57, 58, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, + 82, 84, 85, 86, 87, 88, 89, 90, 94, 95, 98, 99, 100, + 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 96, 97, 113, 114, 115, 116, 117, 118, 119]), model=ScalarModel(intercept=0.24315406592138003, linear_terms=array([-0.00650714, -0.05184298, -0.01332754]), square_terms=array([[0.0108646 , 0.04867403, 0.01126076], + [0.04867403, 0.21952954, 0.05095656], + [0.01126076, 0.05095656, 0.01462715]]), scale=0.05855468750000001, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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112]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 96, 113, 114, 115, 116, 117, 118, 119, 120]), model=ScalarModel(intercept=0.23702920253715587, linear_terms=array([ 0.00152101, -0.01131583, -0.00401794]), square_terms=array([[0.00089141, 0.00738089, 0.00210547], + [0.00738089, 0.06262241, 0.01818261], + [0.00210547, 0.01818261, 0.00614712]]), scale=0.029277343750000004, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 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square_terms=array([[ 0.000468 , -0.00333611, -0.00155569], + [-0.00333611, 0.02485337, 0.01120448], + [-0.00155569, 0.01120448, 0.00526796]]), scale=0.014638671875000002, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 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old_indices_used=array([116, 118, 120, 121]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.007319335937500001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, + 133, 134]), model=ScalarModel(intercept=0.23520958319053759, linear_terms=array([8.05468050e-04, 2.57431136e-03, 5.53121379e-05]), square_terms=array([[2.69972474e-06, 7.10103210e-05, 2.05439339e-06], + [7.10103210e-05, 2.53760388e-02, 2.83599665e-03], + [2.05439339e-06, 2.83599665e-03, 3.52175101e-04]]), scale=0.007319335937500001, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + 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upper=array([20., 1., 10.]))), model_indices=array([118, 122, 123, 124, 125, 126, 128, 130, 132, 133, 134, 135]), model=ScalarModel(intercept=0.23431993978518403, linear_terms=array([ 0.00141111, 0.00161197, -0.00022914]), square_terms=array([[ 8.64411987e-05, -2.79008686e-03, -3.44106985e-04], + [-2.79008686e-03, 1.06148198e-01, 1.18460680e-02], + [-3.44106985e-04, 1.18460680e-02, 1.46563956e-03]]), scale=0.014638671875000002, shift=array([7.84717277, 0.07269723, 0.98071039])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 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rho=0.58147486051046, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 121, 122, 123, 124, 129, 135, 136, 137, 138, 140]), old_indices_discarded=array([117, 118, 125, 126, 127, 128, 130, 131, 132, 133, 134, 139]), step_length=0.029957997559679685, relative_step_length=1.023248482358639, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.71417813, 0.0729572 , 0.98143587]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 129, 135, 136, 137, 138, 139, 140, 141]), model=ScalarModel(intercept=0.22040402238892187, linear_terms=array([ 0.00574929, -0.03191014, -0.00332637]), square_terms=array([[3.27243290e-04, 1.60670207e-02, 1.81545554e-03], + [1.60670207e-02, 1.43659315e+00, 1.99099486e-01], + [1.81545554e-03, 1.99099486e-01, 3.13064314e-02]]), scale=0.05855468750000001, shift=array([7.71417813, 0.0729572 , 0.98143587])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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step_length=0.05861308295551946, relative_step_length=1.0009972806279506, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.65630051, 0.07609851, 0.97272918]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([117, 119, 120, 121, 122, 136, 137, 138, 139, 140, 141, 142]), model=ScalarModel(intercept=0.24225146876914533, linear_terms=array([0.00660425, 0.43717435, 0.07605389]), square_terms=array([[ 6.11983228e-04, -2.55806769e-02, -5.50848188e-03], + [-2.55806769e-02, 3.33341669e+00, 5.71088272e-01], + [-5.50848188e-03, 5.71088272e-01, 1.07080980e-01]]), scale=array([0.09438969, 0.0852441 , 0.09438969]), shift=array([7.65630051, 0.0852441 , 0.97272918])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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n_evals_acceptance=1), State(trustregion=Region(center=array([7.56861502, 0.07447888, 0.96215226]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([117, 119, 120, 121, 136, 137, 138, 139, 140, 141, 142, 143]), model=ScalarModel(intercept=1.0099972257239318, linear_terms=array([-0.05569899, 3.65539391, 0.79427092]), square_terms=array([[ 5.28878065e-03, -1.70456160e-01, -4.17705301e-02], + [-1.70456160e-01, 8.29156035e+00, 1.79488751e+00], + [-4.17705301e-02, 1.79488751e+00, 4.25357499e-01]]), scale=array([0.18877937, 0.13162913, 0.18877937]), shift=array([7.56861502, 0.13162913, 0.96215226])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 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135]), step_length=0.1930429817888977, relative_step_length=0.8241995219806172, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.37983565, 0.07697185, 0.92188159]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([117, 119, 120, 136, 137, 138, 139, 140, 141, 142, 143, 144]), model=ScalarModel(intercept=5.5636505351248084, linear_terms=array([-0.41318823, 16.19145847, 4.07555524]), square_terms=array([[ 0.02642275, -0.67758193, -0.19146099], + [-0.67758193, 24.37141767, 6.13250511], + [-0.19146099, 6.13250511, 1.68817298]]), scale=array([0.37755874, 0.2272653 , 0.37755874]), shift=array([7.37983565, 0.2272653 , 0.92188159])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + 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+ 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, + 110, 111, 112, 113, 114, 115, 116, 118, 121, 122, 123, 124, 125, + 126, 127, 128, 129, 130, 131, 132, 133, 134, 135]), step_length=0.38200212553289437, relative_step_length=0.815481522151609, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 114, 117, 119, 132, 137, 139, 140, 143, 144, 145]), model=ScalarModel(intercept=0.5952256268553571, linear_terms=array([0.11410682, 1.24929538, 0.22345221]), square_terms=array([[ 0.02780675, 0.0636425 , -0.05552575], + [ 0.0636425 , 1.7674034 , 0.37131557], + [-0.05552575, 0.37131557, 0.66954534]]), scale=array([0.75511748, 0.41693639, 0.75511748]), shift=array([7.00227691, 0.41693639, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=146, candidate_x=array([6.24715943, 0.14166197, 0.82566731]), index=145, x=array([7.00227691, 0.0787553 , 0.86381404]), fval=0.15300589442507373, rho=-3.966144375297931, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 81, 82, 114, 117, 119, 132, 137, 139, 140, 143, 144, 145]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, + 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, + 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 118, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, + 136, 138, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]), model=ScalarModel(intercept=3.2750122741025782, linear_terms=array([ 0.02448497, 10.17783148, 2.16814968]), square_terms=array([[ 1.06554000e-02, -1.22079981e-02, -3.67375290e-02], + [-1.22079981e-02, 1.65708771e+01, 3.52003515e+00], + [-3.67375290e-02, 3.52003515e+00, 9.42927661e-01]]), scale=array([0.37755874, 0.22815702, 0.37755874]), shift=array([7.00227691, 0.22815702, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=147, candidate_x=array([6.62471817, 0.09785853, 0.78588371]), index=147, x=array([6.62471817, 0.09785853, 0.78588371]), fval=0.13687673786357146, rho=0.362546283425985, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]), old_indices_discarded=array([ 1, 7, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, + 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, + 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, + 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, + 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, + 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, + 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, + 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, + 128, 129, 130, 131, 132, 133, 134, 135, 136]), step_length=0.3859905081480779, relative_step_length=0.8239957478811535, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.62471817, 0.09785853, 0.78588371]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), model=ScalarModel(intercept=17.204505899465673, linear_terms=array([ 0.15483071, 43.69169803, 7.03043101]), square_terms=array([[ 4.40904386e-02, 1.23102882e-01, -1.27049447e-01], + [ 1.23102882e-01, 5.58687935e+01, 9.00769457e+00], + [-1.27049447e-01, 9.00769457e+00, 2.29138016e+00]]), scale=array([0.75511748, 0.42648801, 0.75511748]), shift=array([6.62471817, 0.42648801, 0.78588371])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + 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index=148, x=array([5.86960069, 0.10479103, 0.66624553]), fval=0.08039107118280965, rho=1.1103743902331384, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, + 132, 133, 134, 135, 136, 137]), step_length=0.7645676959215466, relative_step_length=0.816082930936941, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.86960069, 0.10479103, 0.66624553]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), model=ScalarModel(intercept=27.08757097179497, linear_terms=array([-0.34462358, 61.42128644, 13.05324413]), square_terms=array([[ 0.14371819, -0.33025874, -0.40107957], + [-0.33025874, 70.1263393 , 14.24446062], + [-0.40107957, 14.24446062, 4.36264181]]), scale=array([1.51023496, 0.5 , 1.08824025]), shift=array([5.86960069, 0.5 , 1.08824025])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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[0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=149, candidate_x=array([4.35936573, 0.12268659, 0.41347298]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=0.5649533931433475, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, + 131, 132, 133, 134, 135, 136, 137]), step_length=1.5313470728428766, relative_step_length=0.817263281036892, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=3.7475000000000005, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), model=ScalarModel(intercept=8.518438145662957, linear_terms=array([-5.710938 , 5.29331738, 15.83871196]), square_terms=array([[ 2.27307925, -1.57230677, -5.59695524], + [-1.57230677, 1.94131818, 4.64526088], + [-5.59695524, 4.64526088, 15.10684279]]), scale=array([3.02046992, 0.5 , 1.71697145]), shift=array([4.35936573, 0.5 , 1.71697145])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=150, candidate_x=array([3.69246538, 0.11966062, 0.17797387]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-16.52544634674914, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, + 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, + 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, + 135, 136, 137, 138, 139, 140, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150]), model=ScalarModel(intercept=20.176863822850184, linear_terms=array([-7.75202783, 27.72899022, 34.94959428]), square_terms=array([[ 1.91497452, -4.69825709, -7.7412449 ], + [-4.69825709, 20.05782794, 22.48109099], + [-7.7412449 , 22.48109099, 32.87793932]]), scale=array([1.51023496, 0.5 , 0.96185397]), shift=array([4.35936573, 0.5 , 0.96185397])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=151, candidate_x=array([5.21862522, 0.05505382, 0.65352054]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-60.12284050397859, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, + 130, 131, 132, 133, 134, 135, 136, 137, 138]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), model=ScalarModel(intercept=26.573430124431628, linear_terms=array([ 1.84035838, 75.84856055, 3.10106805]), square_terms=array([[ 1.11405179e-01, 2.63586115e+00, -1.20229262e-02], + [ 2.63586115e+00, 1.08415824e+02, 4.43466602e+00], + [-1.20229262e-02, 4.43466602e+00, 5.00329568e-01]]), scale=array([0.75511748, 0.43890204, 0.58429523]), shift=array([4.35936573, 0.43890204, 0.58429523])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=152, candidate_x=array([5.11448321, 0.11434387, 0.80652044]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-3.565585839280689, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), old_indices_discarded=array([ 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, + 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, + 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, + 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, + 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, + 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, + 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, + 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, + 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([146, 147, 148, 149, 150, 151, 152]), model=ScalarModel(intercept=4.216755970553032, linear_terms=array([-0.04018962, 17.62984736, 2.70493168]), square_terms=array([[ 1.07864603e-02, -8.89732841e-02, -4.70880145e-02], + [-8.89732841e-02, 3.74688701e+01, 5.77267641e+00], + [-4.70880145e-02, 5.77267641e+00, 9.99952317e-01]]), scale=array([0.37755874, 0.25012267, 0.37755874]), shift=array([4.35936573, 0.25012267, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=153, candidate_x=array([4.73692447, 0.11748387, 0.56577901]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-0.3323781078100622, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([146, 147, 148, 149, 150, 151, 152]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 150, 151, 152, 153]), model=ScalarModel(intercept=0.5414960094081812, linear_terms=array([0.07256309, 5.3047706 , 0.38990336]), square_terms=array([[ 2.81144197e-02, 5.09549719e-01, -2.11153453e-02], + [ 5.09549719e-01, 2.84641428e+01, 1.77855861e+00], + [-2.11153453e-02, 1.77855861e+00, 2.60521305e-01]]), scale=array([0.18877937, 0.15573298, 0.18877937]), shift=array([4.35936573, 0.15573298, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=154, candidate_x=array([4.5481451 , 0.12427896, 0.40654176]), index=154, x=array([4.5481451 , 0.12427896, 0.40654176]), fval=0.05441380029102107, rho=0.04290732775934293, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([149, 150, 151, 152, 153]), old_indices_discarded=array([], dtype=int32), step_length=0.18891328186820272, relative_step_length=0.8065677144472964, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.5481451 , 0.12427896, 0.40654176]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166]), model=ScalarModel(intercept=1.1679478057033899, linear_terms=array([ 0.36136865, -7.44578414, -1.42989868]), square_terms=array([[ 0.05897121, -1.20626897, -0.23260914], + [-1.20626897, 24.82447042, 4.77121331], + [-0.23260914, 4.77121331, 0.92085919]]), scale=0.11710937500000002, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=167, candidate_x=array([4.66548747, 0.16743749, 0.39441274]), index=154, x=array([4.5481451 , 0.12427896, 0.40654176]), fval=0.05441380029102107, rho=-0.08145102845200289, accepted=False, new_indices=array([155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166]), old_indices_used=array([149, 153, 154]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.5481451 , 0.12427896, 0.40654176]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 155, 156, 157, 158, 160, 161, 162, 163, 164, 165, 166]), model=ScalarModel(intercept=1.3163547372434563, linear_terms=array([ 0.3310896 , -4.05756846, -0.39078948]), square_terms=array([[ 0.04403314, -0.5337665 , -0.05118331], + [-0.5337665 , 6.51219135, 0.62823552], + [-0.05118331, 0.62823552, 0.06280723]]), scale=0.05855468750000001, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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model_indices=array([154, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, + 180, 181]), model=ScalarModel(intercept=0.056347012403902504, linear_terms=array([ 0.00351876, -0.03661282, -0.00764848]), square_terms=array([[ 0.00056674, -0.00603453, -0.00122976], + [-0.00603453, 0.06460952, 0.01306557], + [-0.00122976, 0.01306557, 0.00269682]]), scale=0.014638671875000002, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), 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upper=array([20., 1., 10.]))), model_indices=array([154, 170, 171, 174, 176, 177, 178, 179, 180, 182, 183, 184]), model=ScalarModel(intercept=0.04585836711401811, linear_terms=array([-6.67537194e-05, 1.43891235e-03, 3.06344221e-04]), square_terms=array([[ 2.36299654e-04, -7.77863306e-03, -1.47569340e-03], + [-7.77863306e-03, 3.07535922e-01, 5.46611642e-02], + [-1.47569340e-03, 5.46611642e-02, 9.97399430e-03]]), scale=0.029277343750000004, shift=array([4.55128123, 0.12775829, 0.43055863])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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old_indices_used=array([168, 169, 171, 173, 175, 176, 177, 178, 180, 183, 184, 185]), old_indices_discarded=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166, 167, 170, 172, 174, 179, 181, 182]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.58047657, 0.12752792, 0.43523875]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 170, 171, 173, 174, 177, 178, 180, 182, 183, 184, 185]), model=ScalarModel(intercept=0.04585647894658236, linear_terms=array([-2.48234494e-05, 4.43832417e-03, 6.91540580e-04]), square_terms=array([[ 6.20511531e-05, -1.38920411e-03, -3.48872642e-04], + [-1.38920411e-03, 3.13310468e-01, 5.07347828e-02], + [-3.48872642e-04, 5.07347828e-02, 8.51171146e-03]]), scale=0.029277343750000004, shift=array([4.58047657, 0.12752792, 0.43523875])), 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174, 177, 178, 180, 182, 183, 184, 185, 188]), model=ScalarModel(intercept=0.04582231431926367, linear_terms=array([-2.72462457e-05, 7.68204684e-05, 1.85309203e-06]), square_terms=array([[ 1.07619951e-04, -4.31398209e-03, -8.69861670e-04], + [-4.31398209e-03, 3.10960578e-01, 5.50170257e-02], + [-8.69861670e-04, 5.50170257e-02, 9.99613021e-03]]), scale=0.029277343750000004, shift=array([4.56657486, 0.12784175, 0.43048902])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), 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candidate_x=array([4.59357672, 0.12622752, 0.44168988]), index=188, x=array([4.56657486, 0.12784175, 0.43048902]), fval=0.04578156739482431, rho=-4.187138449369425, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([154, 170, 171, 174, 177, 178, 180, 182, 183, 184, 185, 188]), old_indices_discarded=array([155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, + 168, 169, 172, 173, 175, 176, 179, 181, 186, 187]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.56657486, 0.12784175, 0.43048902]), radius=0.014638671875000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 170, 174, 177, 178, 180, 182, 183, 184, 185, 188, 189]), model=ScalarModel(intercept=0.04584429951394564, linear_terms=array([-1.79643502e-05, 6.53304443e-05, 3.44399726e-05]), square_terms=array([[ 1.58980072e-05, -2.80674792e-04, -7.86824892e-05], + 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vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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State(trustregion=Region(center=array([6.34658539, 0.45683579, 1.43724532]), radius=0.07933231739128928, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]), model=ScalarModel(intercept=1.0012728382593177, linear_terms=array([-0.02234622, 0.00422195, 0.00207664]), square_terms=array([[ 9.24466520e-04, -4.29659345e-05, -1.96322260e-05], + [-4.29659345e-05, 1.23742460e-05, 6.00977791e-06], + [-1.96322260e-05, 6.00977791e-06, 2.95515687e-06]]), scale=0.07933231739128928, shift=array([6.34658539, 0.45683579, 1.43724532])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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State(trustregion=Region(center=array([6.89783802, 0.39419424, 1.43888118]), radius=0.6346585391303142, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 2, 3, 9, 12, 15, 18, 24, 26, 27, 29, 30]), model=ScalarModel(intercept=0.8410774981922575, linear_terms=array([-0.13063166, 0.03868859, -0.00976995]), square_terms=array([[ 0.04030874, -0.00417817, 0.00101791], + [-0.00417817, 0.00190068, -0.0006102 ], + [ 0.00101791, -0.0006102 , 0.0002068 ]]), scale=array([0.51153223, 0.45286323, 0.51153223]), shift=array([6.89783802, 0.45286323, 1.43888118])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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96]), old_indices_discarded=array([], dtype=int32), step_length=0.00015494593240476418, relative_step_length=0.9999999999993695, n_evals_per_point=1, n_evals_acceptance=1)], 'message': 'Absolute criterion change smaller than tolerance.', 'tranquilo_history': History for least_squares function with 98 entries., 'history': {'params': [{'CRRA': 6.346585391303142, 'BeqMPC': 0.4568357851782139, 'BeqInt': 1.437245319506724}, {'CRRA': 5.879035015107191, 'BeqMPC': 0.0, 'BeqInt': 1.675645176481441}, {'CRRA': 6.59274553116329, 'BeqMPC': 0.0, 'BeqInt': 1.7605331040354946}, {'CRRA': 6.858117620616099, 'BeqMPC': 0.7768431947755164, 'BeqInt': 1.693602423781937}, {'CRRA': 6.524942441816071, 'BeqMPC': 0.9683680144911705, 'BeqInt': 0.9395014347882453}, {'CRRA': 6.117098893759199, 'BeqMPC': 0.9683680144911705, 'BeqInt': 1.921092741955753}, {'CRRA': 6.854650299416382, 'BeqMPC': 0.9683680144911705, 'BeqInt': 1.9472174814163323}, {'CRRA': 5.835053161990185, 'BeqMPC': 0.8279322281985095, 'BeqInt': 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1.3905125626151882, 1.0533615916823587, 1.129025916159762, 1.270687259676889, 1.3421478356976526, 1.1228844701712608, 1.4968718834600212, 1.491554559302953, 1.1197262431576396, 2.4485976866578185, 1.4867082505604698, 0.8465929263162542, 1.0627039507271148, 23.69673634929465, 5.3232242763386814, 1.0336299550050585, 1.0143730773902615, 0.8934839161645123, 0.8186095966925727, 1.0104230647428003, 1.4359407334467633, 0.5528525837818249, 0.8146790661112671, 0.21708715040520232, 1.3290140294192894, 75.78016636165663, 0.7304323375715707, 0.32657323376413006, 0.26133748741390905, 0.19371489808344228, 0.4730141347564498, 0.5924758507170418, 0.24798602028703784, 0.24880741384246036, 0.1806469100914233, 0.2455935693944108, 0.6399563710170812, 0.4168723406840586, 0.24365632799734988, 0.4588125885528677, 0.26051889664647687, 0.19548097315147817, 0.17271090292842534, 0.13210955317124928, 0.14749929808276083, 0.41569211736207623, 0.2729875698980847, 0.11889252381124493, 0.19267018120623233, 0.10949591412256703, 0.09523212014905891, 0.08054668893565853, 0.3787855189165851, 0.22789613650867369, 0.07138874587072694, 88.28901965829593, 0.07138874587072694], 'runtime': [0.0, 1.4313223999997717, 1.713108099999772, 1.8917934000000969, 2.0683109999999942, 2.2472055999996883, 2.430327899999611, 2.6181225000000268, 2.807854099999531, 2.997156000000359, 3.192546399999628, 3.3866594000000987, 3.574402899999768, 4.810007799999767, 5.979484299999967, 7.155630600000222, 8.309329800000341, 9.467951099999482, 10.770032899999933, 11.941535799999656, 13.095161399999597, 14.264428299999963, 15.419979899999817, 16.627684500000214, 17.905041099999835, 19.07478209999954, 20.229063300000234, 21.413935599999604, 22.59911370000009, 24.11784379999972, 24.40818440000021, 24.58721919999971, 24.765567100000226, 24.94053189999977, 25.118425099999513, 25.300965700000233, 25.495352599999933, 25.681453000000147, 25.871117099999537, 26.05526920000011, 26.25240810000014, 27.509843199999523, 28.672520999999506, 29.83269990000008, 31.013558999999987, 32.1824101000002, 33.486719300000004, 34.653501900000265, 35.81928929999958, 36.979719199999636, 38.13843679999991, 39.29786129999957, 40.590000000000146, 41.748527800000375, 42.91451479999978, 44.07699609999963, 45.24848920000022, 46.41140489999998], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}], 'exploration_sample': array([[ 9.36875 , 0.5625 , 1.875 ], + [ 8.778125, 0.90625 , 2.8125 ], + [ 9.959375, 0.09375 , 8.4375 ], + [ 8.1875 , 0.375 , 6.25 ], + [10.55 , 0.5 , 5. ], + [ 7.596875, 0.71875 , 7.1875 ], + [ 7.00625 , 0.1875 , 3.125 ], + [11.73125 , 0.4375 , 0.625 ], + [ 6.415625, 0.28125 , 1.5625 ], + [12.321875, 0.96875 , 9.6875 ], + [12.9125 , 0.125 , 8.75 ], + [ 5.825 , 0.75 , 7.5 ], + [13.503125, 0.65625 , 0.3125 ], + [ 5.234375, 0.84375 , 0.9375 ], + [14.09375 , 0.8125 , 4.375 ], + [14.684375, 0.34375 , 5.9375 ], + [ 4.64375 , 0.3125 , 9.375 ], + [15.275 , 0.25 , 2.5 ], + [ 2. , 0.1 , 1. ], + [ 4.053125, 0.15625 , 5.3125 ], + [15.865625, 0.78125 , 6.5625 ], + [ 3.4625 , 0.625 , 3.75 ], + [16.45625 , 0.6875 , 8.125 ], + [17.046875, 0.21875 , 2.1875 ], + [ 2.871875, 0.46875 , 4.6875 ], + [ 2.28125 , 0.9375 , 5.625 ], + [17.6375 , 0.875 , 1.25 ], + [18.228125, 0.40625 , 7.8125 ], + [18.81875 , 0.0625 , 6.875 ], + [19.409375, 0.59375 , 3.4375 ]]), 'exploration_results': array([0.64209144, 0.6484228 , 0.66164058, 0.68191617, 0.70447659, + 0.74714836, 0.84712201, 0.86239976, 0.97173338, 0.97951322, + 1.12431839, 1.18220474, 1.30410663, 1.42368725, 1.52011014, + 1.78024917, 1.78133902, 2.09714539, 2.22564378, 2.24371068, + 2.48116605, 2.89497477, 2.94379242, 3.49762974, 3.76794921, + 4.13898884, 4.16035282, 4.94978648, 5.89491246, 7.00125067])}}" diff --git a/src/content/tables/min/WealthPortfolio_estimate_results.csv b/src/content/tables/min/WealthPortfolio_estimate_results.csv new file mode 100644 index 0000000..bfd6d17 --- /dev/null +++ b/src/content/tables/min/WealthPortfolio_estimate_results.csv @@ -0,0 +1,7041 @@ +CRRA,5.338780774481047 +WealthShare,0.17065528804872485 +time_to_estimate,164.2162516117096 +params,"{'CRRA': 5.338780774481047, 'WealthShare': 0.17065528804872485}" +criterion,0.24222229239256732 +start_criterion,3.174630358464639 +start_params,"{'CRRA': 2.0, 'WealthShare': 0.05}" +algorithm,multistart_tranquilo_ls +direction,minimize +n_free,2 +message,Absolute criterion change smaller than tolerance. +success, +n_criterion_evaluations, +n_derivative_evaluations, +n_iterations, +history,"{'params': [{'CRRA': 7.00625, 'WealthShare': 0.19375}, {'CRRA': 6.385337260354661, 'WealthShare': 0.0589657827107465}, {'CRRA': 7.627162739645338, 'WealthShare': 0.2909337034881926}, {'CRRA': 6.385337260354661, 'WealthShare': 0.4422314188083436}, {'CRRA': 7.627162739645338, 'WealthShare': 0.6717516331999257}, {'CRRA': 7.627162739645338, 'WealthShare': 0.010000476301985028}, {'CRRA': 7.556316959078161, 'WealthShare': 0.01}, {'CRRA': 6.385337260354661, 'WealthShare': 0.4716198511344087}, {'CRRA': 7.627162739645338, 'WealthShare': 0.751444172509113}, {'CRRA': 7.435546062237209, 'WealthShare': 0.8146627396453386}, {'CRRA': 6.407783701100443, 'WealthShare': 0.8146627396453386}, {'CRRA': 6.6651666175265545, 'WealthShare': 0.01}, {'CRRA': 6.48493214278919, 'WealthShare': 0.8146627396453386}, {'CRRA': 6.385337260354661, 'WealthShare': 0.1237617248187634}, {'CRRA': 6.0748808905319915, 'WealthShare': 0.20052322401594325}, {'CRRA': 6.2532427503011325, 'WealthShare': 0.19438789449563343}, {'CRRA': 6.3382227136719385, 'WealthShare': 0.1578819528196836}, {'CRRA': 6.493450898583273, 'WealthShare': 0.13740842870128234}, {'CRRA': 6.4256753849363895, 'WealthShare': 0.15294566470705245}, {'CRRA': 6.294459741840304, 'WealthShare': 0.16000090800258274}, {'CRRA': 6.382143835462875, 'WealthShare': 0.16046020191691993}, {'CRRA': 6.250679533322458, 'WealthShare': 0.16091446504625906}, {'CRRA': 6.163102752485386, 'WealthShare': 0.16148208803528766}, {'CRRA': 6.007874567574052, 'WealthShare': 0.16384849824047343}, {'CRRA': 5.697418197751382, 'WealthShare': 0.17249887954427012}, {'CRRA': 5.236146802438669, 'WealthShare': 0.17615356090029882}, {'CRRA': 5.425169945432182, 'WealthShare': 0.18194646890715233}, {'CRRA': 4.9779501150979595, 'WealthShare': 0.1792004931237239}, {'CRRA': 5.546603172261339, 'WealthShare': 0.48660993072296815}, {'CRRA': 5.215889834469423, 'WealthShare': 0.1769811233053123}, {'CRRA': 5.274171299031127, 'WealthShare': 0.17638843122996792}, {'CRRA': 5.259275228360069, 'WealthShare': 0.1764508677785662}, {'CRRA': 5.361747939266923, 'WealthShare': 0.17587789924445918}, {'CRRA': 5.500670574988, 'WealthShare': 0.1750124128151594}, {'CRRA': 5.361212623821769, 'WealthShare': 0.08830141029970982}, {'CRRA': 5.448965805526602, 'WealthShare': 0.16786346171002578}, {'CRRA': 5.521017950385663, 'WealthShare': 0.16734145638561265}, {'CRRA': 5.361392263936586, 'WealthShare': 0.1687594482598058}, {'CRRA': 5.408532775180341, 'WealthShare': 0.16829680110424536}, {'CRRA': 5.4146764839922925, 'WealthShare': 0.16830439279425335}, {'CRRA': 5.317605072265502, 'WealthShare': 0.16916422003343717}, {'CRRA': 5.230029569186239, 'WealthShare': 0.16984189173088587}, {'CRRA': 5.361391583162623, 'WealthShare': 0.16869150649947118}, {'CRRA': 5.339508482161973, 'WealthShare': 0.17080481516331386}, {'CRRA': 5.368957473427081, 'WealthShare': 0.1704982684436756}, {'CRRA': 5.3283746442860265, 'WealthShare': 0.170903000375076}, {'CRRA': 5.328563448185613, 'WealthShare': 0.17111248155527758}, {'CRRA': 5.334036845737762, 'WealthShare': 0.17107114051345143}, {'CRRA': 5.342235745297582, 'WealthShare': 0.1697818067119096}, {'CRRA': 5.3408803356615, 'WealthShare': 0.17109939320809675}, {'CRRA': 5.338823528524706, 'WealthShare': 0.17065422827949905}, {'CRRA': 5.340193277829363, 'WealthShare': 0.17078798862632172}, {'CRRA': 5.338140970895526, 'WealthShare': 0.17083226059338175}, {'CRRA': 5.338518273170905, 'WealthShare': 0.17049811328240777}, {'CRRA': 5.338781916239757, 'WealthShare': 0.1708201405184341}, {'CRRA': 5.338915212045181, 'WealthShare': 0.17067448290561968}, {'CRRA': 5.338780774481047, 'WealthShare': 0.17065528804872485}], 'criterion': [0.3273843758368489, 0.5699740200328935, 0.842575503738206, 3.810658336120194, 20.623483705368287, 0.6910521757749679, 0.6995225156927494, 4.9395441503578565, 42.99134020288109, 86.6456059148058, 105.27402392078089, 0.8474994237274145, 103.66743022564344, 0.30690596890028216, 0.29210255832128873, 0.28576369985789285, 0.26145704727673624, 0.28242718110045806, 0.26615570282764395, 0.2594527871161228, 0.26221365404602937, 0.2577870645585467, 0.25523533119834385, 0.25064066883423725, 0.24497093468209197, 0.24406000199271466, 0.24743835677691237, 0.24950377050231112, 6.8114635382632684, 0.244474337584774, 0.24364090572406066, 0.24383728429031426, 0.2434506325404963, 0.24360441582812653, 0.5131462702699118, 0.24274413357026287, 0.24315059044862256, 0.2425520875633037, 0.24267761171614233, 0.24262874555716651, 0.24241985946629965, 0.24303623087126985, 0.24256813594664275, 0.24222716621340298, 0.24232942620846887, 0.24226459021544208, 0.24228552258028713, 0.2422627008915168, 0.24227972390907074, 0.24224781333659, 0.24222315394360727, 0.2422366702780749, 0.24222456968889083, 0.2422369639832645, 0.24222420706924647, 0.2422233576238524, 0.2422222923925673], 'runtime': [0.0, 3.3517086000001655, 3.3661756999999852, 3.424483400000099, 3.451412800000071, 3.489449499999864, 3.5198557000003348, 3.5422041000001627, 3.596079199999622, 3.6200386999998955, 3.657046100000116, 3.690714200000002, 3.731081400000221, 74.43707730000006, 75.34568860000036, 83.3786897, 84.28448920000028, 85.26549439999962, 86.36887999999999, 87.35160900000028, 88.3371747000001, 89.31123019999995, 90.2981920000002, 91.27267860000029, 92.26599290000013, 93.24483039999996, 94.24852620000001, 95.22648769999978, 96.21201800000017, 97.28578629999993, 98.27731969999968, 99.26059160000023, 100.23487320000004, 101.21467889999985, 105.46554110000034, 106.44524600000022, 107.41956980000032, 108.40282970000044, 109.39050659999975, 110.39262549999967, 111.37418249999973, 112.35797110000021, 113.33255420000023, 114.30928359999962, 115.39719220000006, 116.37701079999988, 117.34951710000041, 118.33788139999979, 119.31654340000023, 120.30831370000033, 121.28862200000003, 122.28352050000012, 123.25973460000023, 124.2504699000001, 125.22843319999993, 126.20291160000033, 127.26846750000004], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]}" +convergence_report, +multistart_info,"{'start_parameters': [{'CRRA': 7.00625, 'WealthShare': 0.19375}, {'CRRA': 7.557071776832622, 'WealthShare': 0.15947986291737937}], 'local_optima': [Minimize with 2 free parameters terminated. + +The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 3.557e-06* 0.002154 +relative_params_change 1.013e-05 0.02634 +absolute_criterion_change 8.616e-07* 0.0005218 +absolute_params_change 4.277e-05 0.1102 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 2 free parameters terminated. + +The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 1.266e-06* 0.2375 +relative_params_change 0.006515 0.369 +absolute_criterion_change 3.068e-07* 0.05754 +absolute_params_change 0.02362 1.523 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.)], 'exploration_sample': [{'CRRA': 7.00625, 'WealthShare': 0.19375}, {'CRRA': 12.9125, 'WealthShare': 0.1325}, {'CRRA': 4.64375, 'WealthShare': 0.31625000000000003}, {'CRRA': 8.1875, 'WealthShare': 0.3775}, {'CRRA': 15.274999999999999, 'WealthShare': 0.255}, {'CRRA': 17.046875, 'WealthShare': 0.224375}, {'CRRA': 11.73125, 'WealthShare': 0.43875}, {'CRRA': 18.81875, 'WealthShare': 0.07125}, {'CRRA': 2.0, 'WealthShare': 0.05}, {'CRRA': 10.549999999999999, 'WealthShare': 0.5}, {'CRRA': 9.368749999999999, 'WealthShare': 0.56125}, {'CRRA': 16.45625, 'WealthShare': 0.68375}, {'CRRA': 2.871875, 'WealthShare': 0.469375}, {'CRRA': 7.596874999999999, 'WealthShare': 0.714375}, {'CRRA': 14.093749999999998, 'WealthShare': 0.80625}, {'CRRA': 3.4625, 'WealthShare': 0.6225}, {'CRRA': 17.6375, 'WealthShare': 0.8674999999999999}, {'CRRA': 5.824999999999999, 'WealthShare': 0.745}, {'CRRA': 12.321874999999999, 'WealthShare': 0.959375}, {'CRRA': 2.28125, 'WealthShare': 0.92875}], 'exploration_results': array([3.27384376e-01, 1.14034055e+00, 1.50312179e+00, 1.79325436e+00, + 2.08879824e+00, 2.54067782e+00, 2.64114350e+00, 2.73814230e+00, + 3.18114653e+00, 3.83228381e+00, 6.46248546e+00, 9.30118040e+00, + 1.59966394e+01, 3.03715662e+01, 3.38771067e+01, 4.26926083e+01, + 5.84656546e+01, 5.90505617e+01, 5.22500282e+02, 9.01924413e+02])}" +algorithm_output,"{'states': [State(trustregion=Region(center=array([7.00625, 0.19375]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=[0], model=ScalarModel(intercept=0.3273843758368489, linear_terms=array([0., 0.]), square_terms=array([[0., 0.], + [0., 0.]]), scale=0.700625, shift=array([7.00625, 0.19375])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=0, candidate_x=array([7.00625, 0.19375]), index=0, x=array([7.00625, 0.19375]), fval=0.32738437583684893, rho=nan, accepted=True, new_indices=[0], old_indices_used=[], old_indices_discarded=[], step_length=None, relative_step_length=None, n_evals_per_point=None, n_evals_acceptance=None), State(trustregion=Region(center=array([7.00625, 0.19375]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), model=ScalarModel(intercept=11.224951550903995, linear_terms=array([-1.37625354, 32.5154691 ]), square_terms=array([[ 0.09351784, -2.07104056], + [-2.07104056, 48.22141916]]), scale=array([0.62091274, 0.40233137]), shift=array([7.00625 , 0.41233137])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=13, candidate_x=array([6.38533726, 0.12376172]), index=13, x=array([6.38533726, 0.12376172]), fval=0.30690596890028216, rho=0.04742895556261184, accepted=True, new_indices=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), old_indices_used=array([0]), old_indices_discarded=array([], dtype=int32), step_length=0.6248447718567584, relative_step_length=0.8918391034530002, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.38533726, 0.12376172]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 0, 1, 3, 6, 7, 10, 11, 12, 13]), model=ScalarModel(intercept=0.7313551856043823, linear_terms=array([0.5632349 , 4.14900217]), square_terms=array([[ 0.31889798, 2.36106382], + [ 2.36106382, 17.56884109]]), scale=array([0.31045637, 0.21210905]), shift=array([6.38533726, 0.22210905])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=14, candidate_x=array([6.07488089, 0.20052322]), index=14, x=array([6.07488089, 0.20052322]), fval=0.2921025583212886, rho=0.03221406908218355, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 1, 3, 6, 7, 10, 11, 12, 13]), old_indices_discarded=array([2, 4, 5, 8, 9]), step_length=0.3198053866376689, relative_step_length=0.9129145738095811, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.07488089, 0.20052322]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 11, 12, 13, 14]), model=ScalarModel(intercept=0.5857130929401587, linear_terms=array([-0.66733221, -2.49758335]), square_terms=array([[ 0.71346148, 2.85346922], + [ 2.85346922, 11.61097172]]), scale=0.17515625, shift=array([6.07488089, 0.20052322])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=15, candidate_x=array([6.25324275, 0.19438789]), index=15, x=array([6.25324275, 0.19438789]), fval=0.28576369985789285, rho=0.020008399324012414, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 10, 11, 12, 13, 14]), old_indices_discarded=array([], dtype=int32), step_length=0.17846735076374473, relative_step_length=1.0189036974914953, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.25324275, 0.19438789]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 13, 14, 15]), model=ScalarModel(intercept=0.2909351370686484, linear_terms=array([0.01016955, 0.239779 ]), square_terms=array([[0.00441972, 0.04993243], + [0.04993243, 0.684917 ]]), scale=0.087578125, shift=array([6.25324275, 0.19438789])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=16, candidate_x=array([6.33822271, 0.15788195]), index=16, x=array([6.33822271, 0.15788195]), fval=0.2614570472767362, rho=0.4991794966519752, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 13, 14, 15]), old_indices_discarded=array([], dtype=int32), step_length=0.0924893396676145, relative_step_length=1.0560780978996123, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.33822271, 0.15788195]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 11, 13, 14, 15, 16]), model=ScalarModel(intercept=0.2600470730558603, linear_terms=array([-0.10978373, -0.38806688]), square_terms=array([[0.34292001, 1.58579951], + [1.58579951, 7.51750345]]), scale=array([0.15522818, 0.15155507]), shift=array([6.33822271, 0.16155507])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=17, candidate_x=array([6.4934509 , 0.13740843]), index=16, x=array([6.33822271, 0.15788195]), fval=0.2614570472767362, rho=-0.4623888253617076, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 10, 11, 13, 14, 15, 16]), old_indices_discarded=array([ 0, 12]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.33822271, 0.15788195]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 11, 13, 14, 15, 16, 17]), model=ScalarModel(intercept=0.24686579583420382, linear_terms=array([-0.00725813, -0.0120927 ]), square_terms=array([[0.00459974, 0.05116398], + [0.05116398, 0.68633371]]), scale=0.087578125, shift=array([6.33822271, 0.15788195])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=18, candidate_x=array([6.42567538, 0.15294566]), index=16, x=array([6.33822271, 0.15788195]), fval=0.2614570472767362, rho=-0.7750579998984433, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 11, 13, 14, 15, 16, 17]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.33822271, 0.15788195]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 15, 16, 17, 18]), model=ScalarModel(intercept=0.2588317231036329, linear_terms=array([ 0.00363168, -0.00423961]), square_terms=array([[1.17813939e-04, 1.72772939e-03], + [1.72772939e-03, 1.19696569e-01]]), scale=0.0437890625, shift=array([6.33822271, 0.15788195])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=19, candidate_x=array([6.29445974, 0.16000091]), index=19, x=array([6.29445974, 0.16000091]), fval=0.2594527871161228, rho=0.5388880366161921, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 15, 16, 17, 18]), old_indices_discarded=array([], dtype=int32), step_length=0.04381424054578142, relative_step_length=1.0005749848099947, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.29445974, 0.16000091]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 13, 14, 15, 16, 17, 18, 19]), model=ScalarModel(intercept=0.2541677101008941, linear_terms=array([-0.00368238, -0.03323817]), square_terms=array([[0.00145555, 0.02969193], + [0.02969193, 0.6672799 ]]), scale=0.087578125, shift=array([6.29445974, 0.16000091])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=20, candidate_x=array([6.38214384, 0.1604602 ]), index=19, x=array([6.29445974, 0.16000091]), fval=0.2594527871161228, rho=-0.930670096284453, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 13, 14, 15, 16, 17, 18, 19]), old_indices_discarded=array([ 7, 11]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.29445974, 0.16000091]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 15, 16, 17, 18, 19, 20]), model=ScalarModel(intercept=0.25622931078220434, linear_terms=array([ 0.0032415 , -0.00073259]), square_terms=array([[1.03290011e-04, 1.82810922e-03], + [1.82810922e-03, 1.19546137e-01]]), scale=0.0437890625, shift=array([6.29445974, 0.16000091])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=21, candidate_x=array([6.25067953, 0.16091447]), index=21, x=array([6.25067953, 0.16091447]), fval=0.2577870645585467, rho=0.517848980651204, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 15, 16, 17, 18, 19, 20]), old_indices_discarded=array([], dtype=int32), step_length=0.043789739030257874, relative_step_length=1.0000154497543279, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.25067953, 0.16091447]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 18, 19, 20, 21]), model=ScalarModel(intercept=0.25500561017058476, linear_terms=array([0.00514188, 0.00157206]), square_terms=array([[3.29759763e-04, 4.68476327e-03], + [4.68476327e-03, 4.75402508e-01]]), scale=0.087578125, shift=array([6.25067953, 0.16091447])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=22, candidate_x=array([6.16310275, 0.16148209]), index=22, x=array([6.16310275, 0.16148209]), fval=0.2552353311983439, rho=0.5116649557870464, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 14, 15, 16, 18, 19, 20, 21]), old_indices_discarded=array([ 3, 7, 17]), step_length=0.08757862032278296, relative_step_length=1.0000056557819998, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.16310275, 0.16148209]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 19, 20, 21, 22]), model=ScalarModel(intercept=0.2515880836028085, linear_terms=array([0.00754998, 0.01225116]), square_terms=array([[8.67053730e-04, 1.69602107e-02], + [1.69602107e-02, 1.46374627e+00]]), scale=array([0.15522818, 0.15335514]), shift=array([6.16310275, 0.16335514])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=23, candidate_x=array([6.00787457, 0.1638485 ]), index=23, x=array([6.00787457, 0.1638485 ]), fval=0.25064066883423725, rho=0.6486363276282296, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 14, 15, 16, 19, 20, 21, 22]), old_indices_discarded=array([ 0, 3, 7, 10, 11, 12, 17, 18]), step_length=0.1552462214938793, relative_step_length=0.8863298996974375, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.00787457, 0.1638485 ]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([13, 14, 15, 16, 19, 20, 21, 22, 23]), model=ScalarModel(intercept=0.43332719746500753, linear_terms=array([0.03146291, 1.14425379]), square_terms=array([[2.68439891e-03, 7.19387302e-02], + [7.19387302e-02, 3.57398202e+00]]), scale=array([0.31045637, 0.23215243]), shift=array([6.00787457, 0.24215243])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=24, candidate_x=array([5.6974182 , 0.17249888]), index=24, x=array([5.6974182 , 0.17249888]), fval=0.244970934682092, rho=0.6800504779079048, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([13, 14, 15, 16, 19, 20, 21, 22, 23]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18]), step_length=0.3105768611152018, relative_step_length=0.8865708791870166, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.6974182 , 0.17249888]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 19, 22, 23, 24]), model=ScalarModel(intercept=1.9359689768705584, linear_terms=array([0.14431675, 5.7192291 ]), square_terms=array([[0.01061289, 0.22387827], + [0.22387827, 9.66222181]]), scale=array([0.62091274, 0.39170581]), shift=array([5.6974182 , 0.40170581])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=25, candidate_x=array([5.2361468 , 0.17615356]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=0.12172165982234218, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 14, 15, 16, 19, 22, 23, 24]), old_indices_discarded=array([ 0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18, 20, 21]), step_length=0.46128587321697967, relative_step_length=0.6583919689091592, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=1.40125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 7, 10, 14, 16, 17, 22, 24, 25]), model=ScalarModel(intercept=19.556928495798605, linear_terms=array([ 2.66108959, 60.1251518 ]), square_terms=array([[ 0.19711181, 4.14595444], + [ 4.14595444, 93.60232406]]), scale=array([1.24182548, 0.49 ]), shift=array([5.2361468, 0.5 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=26, candidate_x=array([5.42516995, 0.18194647]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-0.2074474380333275, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 7, 10, 14, 16, 17, 22, 24, 25]), old_indices_discarded=array([ 0, 2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 15, 18, 19, 20, 21, 23]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 15, 19, 21, 22, 23, 24, 25, 26]), model=ScalarModel(intercept=2.023039226033913, linear_terms=array([0.11112348, 6.16604764]), square_terms=array([[9.99812684e-03, 1.87643817e-01], + [1.87643817e-01, 1.06798417e+01]]), scale=array([0.62091274, 0.39353315]), shift=array([5.2361468 , 0.40353315])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=27, candidate_x=array([4.97795012, 0.17920049]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-9.379349103371986, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([14, 15, 19, 21, 22, 23, 24, 25, 26]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, + 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 21, 22, 23, 24, 25, 26, 27, 28]), model=ScalarModel(intercept=0.5871067495424316, linear_terms=array([0.02508987, 2.27718757]), square_terms=array([[2.83476082e-03, 8.32114910e-02], + [8.32114910e-02, 7.59032634e+00]]), scale=array([0.31045637, 0.23830497]), shift=array([5.2361468 , 0.24830497])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=29, candidate_x=array([5.21588983, 0.17698112]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-12.575485760554423, accepted=False, new_indices=array([28]), old_indices_used=array([14, 21, 22, 23, 24, 25, 26, 27]), old_indices_discarded=array([ 1, 3, 7, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 23, 24, 25, 26, 27, 28, 29]), model=ScalarModel(intercept=0.24537978825844767, linear_terms=array([-0.00017886, -0.00847909]), square_terms=array([[6.40294020e-04, 1.45475512e-02], + [1.45475512e-02, 3.24873183e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.2361468 , 0.17615356])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], 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old_indices_discarded=array([], dtype=int32), step_length=0.03802522196097743, relative_step_length=0.21709314946499153, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2741713 , 0.17638843]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 23, 24, 25, 26, 27, 28, 29, 30]), model=ScalarModel(intercept=0.24506470035985778, linear_terms=array([5.54445372e-05, 8.93470786e-05]), square_terms=array([[6.38751471e-04, 1.45480845e-02], + [1.45480845e-02, 3.24873994e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.2741713 , 0.17638843])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 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dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2741713 , 0.17638843]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([24, 25, 26, 27, 28, 29, 30, 31]), model=ScalarModel(intercept=0.24474192813793477, linear_terms=array([-0.00048722, -0.00034972]), square_terms=array([[2.32194110e-04, 6.38817516e-03], + [6.38817516e-03, 1.03554328e+00]]), scale=0.087578125, shift=array([5.2741713 , 0.17638843])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=32, candidate_x=array([5.36174794, 0.1758779 ]), index=32, x=array([5.36174794, 0.1758779 ]), fval=0.24345063254049631, rho=0.4894780781881887, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([24, 25, 26, 27, 28, 29, 30, 31]), old_indices_discarded=array([], dtype=int32), step_length=0.08757812830780477, relative_step_length=1.00000003776976, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.36174794, 0.1758779 ]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([24, 25, 26, 27, 28, 29, 30, 31, 32]), model=ScalarModel(intercept=0.2442299698961134, linear_terms=array([-0.00054183, 0.00016305]), square_terms=array([[7.30553468e-04, 2.00849094e-02], + [2.00849094e-02, 3.25315131e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.36174794, 0.1758779 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=33, candidate_x=array([5.50067057, 0.17501241]), index=32, x=array([5.36174794, 0.1758779 ]), fval=0.24345063254049631, rho=-0.6330830612424933, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([24, 25, 26, 27, 28, 29, 30, 31, 32]), old_indices_discarded=array([14, 22, 23]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.36174794, 0.1758779 ]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([24, 25, 26, 29, 30, 31, 32, 33, 34]), model=ScalarModel(intercept=0.2435599842214549, linear_terms=array([0.00032528, 0.05273933]), square_terms=array([[2.32924566e-04, 6.28242993e-03], + [6.28242993e-03, 6.44662821e-01]]), scale=0.087578125, shift=array([5.36174794, 0.1758779 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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0.99]))), model_indices=array([25, 26, 29, 30, 31, 32, 33, 34, 35]), model=ScalarModel(intercept=0.2411702136529787, linear_terms=array([-0.00029148, -0.00161231]), square_terms=array([[7.59338494e-04, 1.81333427e-02], + [1.81333427e-02, 2.02348592e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.44896581, 0.16786346])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 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35, 36]), model=ScalarModel(intercept=0.24163478548943507, linear_terms=array([ 0.00016458, -0.00055621]), square_terms=array([[2.57908296e-04, 6.00198503e-03], + [6.00198503e-03, 6.44118485e-01]]), scale=0.087578125, shift=array([5.44896581, 0.16786346])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], 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linear_terms=array([-0.00018881, 0.00035398]), square_terms=array([[8.05230298e-04, 1.86970634e-02], + [1.86970634e-02, 2.02386702e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], 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square_terms=array([[2.60518703e-04, 5.70133267e-03], + [5.70133267e-03, 6.43763482e-01]]), scale=0.087578125, shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 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1.60944325e-01]]), scale=0.0437890625, shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 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0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=41, candidate_x=array([5.23002957, 0.16984189]), index=40, x=array([5.31760507, 0.16916422]), fval=0.24241985946629963, rho=-6.146531737571127, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 30, 31, 32, 34, 37, 38, 39, 40]), old_indices_discarded=array([24, 26, 27, 28, 29, 33, 35, 36]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.31760507, 0.16916422]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 30, 31, 32, 34, 37, 38, 40, 41]), model=ScalarModel(intercept=0.24213302949529256, linear_terms=array([-3.78622622e-05, 2.41519221e-04]), square_terms=array([[6.90966248e-05, 1.48098964e-03], + [1.48098964e-03, 1.60965844e-01]]), scale=0.0437890625, shift=array([5.31760507, 0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=42, candidate_x=array([5.36139158, 0.16869151]), index=40, x=array([5.31760507, 0.16916422]), fval=0.24241985946629963, rho=-11.833264403894546, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 30, 31, 32, 34, 37, 38, 40, 41]), old_indices_discarded=array([26, 29, 33, 35, 36, 39]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.31760507, 0.16916422]), radius=0.02189453125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 30, 31, 32, 37, 38, 40, 41, 42]), model=ScalarModel(intercept=0.24265765523257948, linear_terms=array([-0.00010296, -0.00348716]), square_terms=array([[1.52341867e-05, 3.50476207e-04], + [3.50476207e-04, 4.17971723e-02]]), scale=0.02189453125, shift=array([5.31760507, 0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=43, candidate_x=array([5.33950848, 0.17080482]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=0.9043831615651715, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([25, 30, 31, 32, 37, 38, 40, 41, 42]), old_indices_discarded=array([26, 29, 34, 39]), step_length=0.021964765363485655, relative_step_length=1.0032078381895322, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([30, 31, 32, 37, 38, 39, 40, 42, 43]), model=ScalarModel(intercept=0.2423976703093635, linear_terms=array([-3.01430010e-05, 2.34992933e-04]), square_terms=array([[5.91513482e-05, 1.37667035e-03], + [1.37667035e-03, 1.65820314e-01]]), scale=0.0437890625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=44, candidate_x=array([5.36895747, 0.17049827]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=-9.331642519757773, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([30, 31, 32, 37, 38, 39, 40, 42, 43]), old_indices_discarded=array([25, 26, 29, 33, 34, 35, 36, 41]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.02189453125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([30, 32, 37, 38, 39, 40, 42, 43, 44]), model=ScalarModel(intercept=0.24235348524537714, linear_terms=array([ 5.95198861e-06, -8.48814584e-06]), square_terms=array([[1.47776329e-05, 3.48481891e-04], + [3.48481891e-04, 4.14093403e-02]]), scale=0.02189453125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=45, candidate_x=array([5.32837464, 0.170903 ]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=-24.42199537270614, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([30, 32, 37, 38, 39, 40, 42, 43, 44]), old_indices_discarded=array([25, 26, 31, 34]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.010947265625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([32, 37, 40, 42, 43, 44, 45]), model=ScalarModel(intercept=0.2422806237585476, linear_terms=array([ 2.67171372e-05, -2.05431480e-04]), square_terms=array([[3.68279483e-06, 8.49740419e-05], + [8.49740419e-05, 1.03070513e-02]]), scale=0.010947265625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 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old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.0054736328125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([32, 37, 40, 42, 43, 45, 46]), model=ScalarModel(intercept=0.24229025426011608, linear_terms=array([ 1.48827190e-05, -1.05452116e-04]), square_terms=array([[9.09604685e-07, 2.07560472e-05], + [2.07560472e-05, 2.57873989e-03]]), scale=0.0054736328125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 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n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.00273681640625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([43, 45, 46, 47]), model=ScalarModel(intercept=0.24222624543591792, linear_terms=array([-7.33525171e-06, 2.20337847e-04]), square_terms=array([[2.41748426e-07, 5.48721051e-06], + [5.48721051e-06, 5.94912648e-04]]), scale=0.00273681640625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=48, candidate_x=array([5.34223575, 0.16978181]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=-1.050453647514022, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 45, 46, 47]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.001368408203125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([43, 47, 48]), model=ScalarModel(intercept=0.24222716621340284, linear_terms=array([-1.02551120e-05, -3.95148592e-05]), square_terms=array([[6.98218857e-08, 1.88148453e-06], + [1.88148453e-06, 1.65041401e-04]]), scale=0.001368408203125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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48, 49]), model=ScalarModel(intercept=0.24222716621340307, linear_terms=array([6.14670909e-06, 1.02989082e-05]), square_terms=array([[1.43372945e-08, 1.96028127e-07], + [1.96028127e-07, 3.98197561e-05]]), scale=0.0006842041015625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + 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linear_terms=array([-3.89600052e-06, -1.76546459e-05]), square_terms=array([[6.25029901e-08, 1.54407834e-06], + [1.54407834e-06, 1.61121526e-04]]), scale=0.001368408203125, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=52, candidate_x=array([5.33814097, 0.17083226]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-0.14512140450342684, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 49, 50, 51]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33882353, 0.17065423]), radius=0.00034210205078125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([43, 50, 51, 52]), model=ScalarModel(intercept=0.24222319841032375, linear_terms=array([1.99763146e-06, 5.57738554e-06]), square_terms=array([[3.72373755e-09, 9.11821416e-08], + [9.11821416e-08, 9.85528901e-06]]), scale=0.00034210205078125, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=53, candidate_x=array([5.33851827, 0.17049811]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-4.232464647796792, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 50, 51, 52]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33882353, 0.17065423]), radius=0.000171051025390625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([43, 50, 52, 53]), model=ScalarModel(intercept=0.24222851970904374, linear_terms=array([ 9.20804052e-08, -5.32837905e-06]), square_terms=array([[9.45290458e-10, 2.30234760e-08], + [2.30234760e-08, 2.43134636e-06]]), scale=0.000171051025390625, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=54, candidate_x=array([5.33878192, 0.17082014]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-0.2598782806832573, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 50, 52, 53]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33882353, 0.17065423]), radius=8.55255126953125e-05, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([50, 53, 54]), model=ScalarModel(intercept=0.2422231539436072, linear_terms=array([-3.14907959e-06, -8.42234292e-07]), square_terms=array([[3.63526659e-10, 1.13163660e-09], + [1.13163660e-09, 6.14271368e-07]]), scale=8.55255126953125e-05, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=55, candidate_x=array([5.33891521, 0.17067448]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-0.05725279410002452, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([50, 53, 54]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33882353, 0.17065423]), radius=4.276275634765625e-05, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([50, 54, 55]), model=ScalarModel(intercept=0.24222315394360722, linear_terms=array([ 8.70513659e-08, -4.37510681e-09]), square_terms=array([[8.02169837e-11, 1.60425228e-09], + [1.60425228e-09, 1.54231322e-07]]), scale=4.276275634765625e-05, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=56, candidate_x=array([5.33878077, 0.17065529]), index=56, x=array([5.33878077, 0.17065529]), fval=0.24222229239256732, rho=9.89215757184823, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([50, 54, 55]), old_indices_discarded=array([], dtype=int32), step_length=4.276717619883001e-05, relative_step_length=1.000103357490285, n_evals_per_point=1, n_evals_acceptance=1)], 'tranquilo_history': History for least_squares function with 57 entries., 'multistart_info': {'start_parameters': [array([7.00625, 0.19375]), array([7.55707178, 0.15947986])], 'local_optima': [{'solution_x': array([5.33878077, 0.17065529]), 'solution_criterion': 0.24222229239256732, 'states': [State(trustregion=Region(center=array([7.00625, 0.19375]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=[0], model=ScalarModel(intercept=0.3273843758368489, linear_terms=array([0., 0.]), square_terms=array([[0., 0.], + [0., 0.]]), scale=0.700625, shift=array([7.00625, 0.19375])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, 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step_length=None, relative_step_length=None, n_evals_per_point=None, n_evals_acceptance=None), State(trustregion=Region(center=array([7.00625, 0.19375]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), model=ScalarModel(intercept=11.224951550903995, linear_terms=array([-1.37625354, 32.5154691 ]), square_terms=array([[ 0.09351784, -2.07104056], + [-2.07104056, 48.22141916]]), scale=array([0.62091274, 0.40233137]), shift=array([7.00625 , 0.41233137])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + 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n_evals_acceptance=1), State(trustregion=Region(center=array([6.38533726, 0.12376172]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 0, 1, 3, 6, 7, 10, 11, 12, 13]), model=ScalarModel(intercept=0.7313551856043823, linear_terms=array([0.5632349 , 4.14900217]), square_terms=array([[ 0.31889798, 2.36106382], + [ 2.36106382, 17.56884109]]), scale=array([0.31045637, 0.21210905]), shift=array([6.38533726, 0.22210905])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], 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0.20052322]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 11, 12, 13, 14]), model=ScalarModel(intercept=0.5857130929401587, linear_terms=array([-0.66733221, -2.49758335]), square_terms=array([[ 0.71346148, 2.85346922], + [ 2.85346922, 11.61097172]]), scale=0.17515625, shift=array([6.07488089, 0.20052322])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=15, candidate_x=array([6.25324275, 0.19438789]), index=15, x=array([6.25324275, 0.19438789]), fval=0.28576369985789285, rho=0.020008399324012414, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 10, 11, 12, 13, 14]), old_indices_discarded=array([], dtype=int32), step_length=0.17846735076374473, relative_step_length=1.0189036974914953, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.25324275, 0.19438789]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 13, 14, 15]), model=ScalarModel(intercept=0.2909351370686484, linear_terms=array([0.01016955, 0.239779 ]), square_terms=array([[0.00441972, 0.04993243], + [0.04993243, 0.684917 ]]), scale=0.087578125, shift=array([6.25324275, 0.19438789])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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linear_terms=array([-0.10978373, -0.38806688]), square_terms=array([[0.34292001, 1.58579951], + [1.58579951, 7.51750345]]), scale=array([0.15522818, 0.15155507]), shift=array([6.33822271, 0.16155507])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], 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0.68633371]]), scale=0.087578125, shift=array([6.33822271, 0.15788195])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=18, candidate_x=array([6.42567538, 0.15294566]), index=16, x=array([6.33822271, 0.15788195]), fval=0.2614570472767362, rho=-0.7750579998984433, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 7, 11, 13, 14, 15, 16, 17]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.33822271, 0.15788195]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 15, 16, 17, 18]), model=ScalarModel(intercept=0.2588317231036329, linear_terms=array([ 0.00363168, -0.00423961]), square_terms=array([[1.17813939e-04, 1.72772939e-03], + [1.72772939e-03, 1.19696569e-01]]), scale=0.0437890625, shift=array([6.33822271, 0.15788195])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=19, candidate_x=array([6.29445974, 0.16000091]), index=19, x=array([6.29445974, 0.16000091]), fval=0.2594527871161228, rho=0.5388880366161921, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 15, 16, 17, 18]), old_indices_discarded=array([], dtype=int32), step_length=0.04381424054578142, relative_step_length=1.0005749848099947, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.29445974, 0.16000091]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 13, 14, 15, 16, 17, 18, 19]), model=ScalarModel(intercept=0.2541677101008941, linear_terms=array([-0.00368238, -0.03323817]), square_terms=array([[0.00145555, 0.02969193], + [0.02969193, 0.6672799 ]]), scale=0.087578125, shift=array([6.29445974, 0.16000091])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=20, candidate_x=array([6.38214384, 0.1604602 ]), index=19, x=array([6.29445974, 0.16000091]), fval=0.2594527871161228, rho=-0.930670096284453, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 3, 13, 14, 15, 16, 17, 18, 19]), old_indices_discarded=array([ 7, 11]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.29445974, 0.16000091]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 15, 16, 17, 18, 19, 20]), model=ScalarModel(intercept=0.25622931078220434, linear_terms=array([ 0.0032415 , -0.00073259]), square_terms=array([[1.03290011e-04, 1.82810922e-03], + [1.82810922e-03, 1.19546137e-01]]), scale=0.0437890625, shift=array([6.29445974, 0.16000091])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=21, candidate_x=array([6.25067953, 0.16091447]), index=21, x=array([6.25067953, 0.16091447]), fval=0.2577870645585467, rho=0.517848980651204, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 15, 16, 17, 18, 19, 20]), old_indices_discarded=array([], dtype=int32), step_length=0.043789739030257874, relative_step_length=1.0000154497543279, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.25067953, 0.16091447]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 18, 19, 20, 21]), model=ScalarModel(intercept=0.25500561017058476, linear_terms=array([0.00514188, 0.00157206]), square_terms=array([[3.29759763e-04, 4.68476327e-03], + [4.68476327e-03, 4.75402508e-01]]), scale=0.087578125, shift=array([6.25067953, 0.16091447])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=22, candidate_x=array([6.16310275, 0.16148209]), index=22, x=array([6.16310275, 0.16148209]), fval=0.2552353311983439, rho=0.5116649557870464, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 14, 15, 16, 18, 19, 20, 21]), old_indices_discarded=array([ 3, 7, 17]), step_length=0.08757862032278296, relative_step_length=1.0000056557819998, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.16310275, 0.16148209]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 19, 20, 21, 22]), model=ScalarModel(intercept=0.2515880836028085, linear_terms=array([0.00754998, 0.01225116]), square_terms=array([[8.67053730e-04, 1.69602107e-02], + [1.69602107e-02, 1.46374627e+00]]), scale=array([0.15522818, 0.15335514]), shift=array([6.16310275, 0.16335514])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 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22]), old_indices_discarded=array([ 0, 3, 7, 10, 11, 12, 17, 18]), step_length=0.1552462214938793, relative_step_length=0.8863298996974375, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.00787457, 0.1638485 ]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([13, 14, 15, 16, 19, 20, 21, 22, 23]), model=ScalarModel(intercept=0.43332719746500753, linear_terms=array([0.03146291, 1.14425379]), square_terms=array([[2.68439891e-03, 7.19387302e-02], + [7.19387302e-02, 3.57398202e+00]]), scale=array([0.31045637, 0.23215243]), shift=array([6.00787457, 0.24215243])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=24, candidate_x=array([5.6974182 , 0.17249888]), index=24, x=array([5.6974182 , 0.17249888]), fval=0.244970934682092, rho=0.6800504779079048, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([13, 14, 15, 16, 19, 20, 21, 22, 23]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18]), step_length=0.3105768611152018, relative_step_length=0.8865708791870166, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.6974182 , 0.17249888]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 13, 14, 15, 16, 19, 22, 23, 24]), model=ScalarModel(intercept=1.9359689768705584, linear_terms=array([0.14431675, 5.7192291 ]), square_terms=array([[0.01061289, 0.22387827], + [0.22387827, 9.66222181]]), scale=array([0.62091274, 0.39170581]), shift=array([5.6974182 , 0.40170581])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=25, candidate_x=array([5.2361468 , 0.17615356]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=0.12172165982234218, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 13, 14, 15, 16, 19, 22, 23, 24]), old_indices_discarded=array([ 0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18, 20, 21]), step_length=0.46128587321697967, relative_step_length=0.6583919689091592, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=1.40125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 7, 10, 14, 16, 17, 22, 24, 25]), model=ScalarModel(intercept=19.556928495798605, linear_terms=array([ 2.66108959, 60.1251518 ]), square_terms=array([[ 0.19711181, 4.14595444], + [ 4.14595444, 93.60232406]]), scale=array([1.24182548, 0.49 ]), shift=array([5.2361468, 0.5 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=26, candidate_x=array([5.42516995, 0.18194647]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-0.2074474380333275, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 1, 7, 10, 14, 16, 17, 22, 24, 25]), old_indices_discarded=array([ 0, 2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 15, 18, 19, 20, 21, 23]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.700625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 15, 19, 21, 22, 23, 24, 25, 26]), model=ScalarModel(intercept=2.023039226033913, linear_terms=array([0.11112348, 6.16604764]), square_terms=array([[9.99812684e-03, 1.87643817e-01], + [1.87643817e-01, 1.06798417e+01]]), scale=array([0.62091274, 0.39353315]), shift=array([5.2361468 , 0.40353315])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=27, candidate_x=array([4.97795012, 0.17920049]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-9.379349103371986, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([14, 15, 19, 21, 22, 23, 24, 25, 26]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, + 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.3503125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 21, 22, 23, 24, 25, 26, 27, 28]), model=ScalarModel(intercept=0.5871067495424316, linear_terms=array([0.02508987, 2.27718757]), square_terms=array([[2.83476082e-03, 8.32114910e-02], + [8.32114910e-02, 7.59032634e+00]]), scale=array([0.31045637, 0.23830497]), shift=array([5.2361468 , 0.24830497])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=29, candidate_x=array([5.21588983, 0.17698112]), index=25, x=array([5.2361468 , 0.17615356]), fval=0.2440600019927147, rho=-12.575485760554423, accepted=False, new_indices=array([28]), old_indices_used=array([14, 21, 22, 23, 24, 25, 26, 27]), old_indices_discarded=array([ 1, 3, 7, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.2361468 , 0.17615356]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 23, 24, 25, 26, 27, 28, 29]), model=ScalarModel(intercept=0.24537978825844767, linear_terms=array([-0.00017886, -0.00847909]), square_terms=array([[6.40294020e-04, 1.45475512e-02], + [1.45475512e-02, 3.24873183e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.2361468 , 0.17615356])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + 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0.17638843]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 23, 24, 25, 26, 27, 28, 29, 30]), model=ScalarModel(intercept=0.24506470035985778, linear_terms=array([5.54445372e-05, 8.93470786e-05]), square_terms=array([[6.38751471e-04, 1.45480845e-02], + [1.45480845e-02, 3.24873994e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.2741713 , 0.17638843])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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upper=array([20. , 0.99]))), model_indices=array([24, 25, 26, 27, 28, 29, 30, 31]), model=ScalarModel(intercept=0.24474192813793477, linear_terms=array([-0.00048722, -0.00034972]), square_terms=array([[2.32194110e-04, 6.38817516e-03], + [6.38817516e-03, 1.03554328e+00]]), scale=0.087578125, shift=array([5.2741713 , 0.17638843])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 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31, 32]), model=ScalarModel(intercept=0.2442299698961134, linear_terms=array([-0.00054183, 0.00016305]), square_terms=array([[7.30553468e-04, 2.00849094e-02], + [2.00849094e-02, 3.25315131e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.36174794, 0.1758779 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 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linear_terms=array([0.00032528, 0.05273933]), square_terms=array([[2.32924566e-04, 6.28242993e-03], + [6.28242993e-03, 6.44662821e-01]]), scale=0.087578125, shift=array([5.36174794, 0.1758779 ])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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scale=0.087578125, shift=array([5.44896581, 0.16786346])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=37, candidate_x=array([5.36139226, 0.16875945]), index=37, x=array([5.36139226, 0.16875945]), fval=0.24255208756330368, rho=2.7825937304103108, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([25, 26, 30, 31, 32, 33, 34, 35, 36]), old_indices_discarded=array([24, 28, 29]), step_length=0.08757812500000042, relative_step_length=1.0000000000000047, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.36139226, 0.16875945]), radius=0.17515625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 26, 29, 31, 33, 34, 35, 36, 37]), model=ScalarModel(intercept=0.2417800168998051, linear_terms=array([-0.00018881, 0.00035398]), square_terms=array([[8.05230298e-04, 1.86970634e-02], + [1.86970634e-02, 2.02386702e+00]]), scale=array([0.15522818, 0.15522818]), shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=38, candidate_x=array([5.40853278, 0.1682968 ]), index=37, x=array([5.36139226, 0.16875945]), fval=0.24255208756330368, rho=-4.2991999497290685, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 26, 29, 31, 33, 34, 35, 36, 37]), old_indices_discarded=array([14, 22, 23, 24, 27, 28, 30, 32]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.36139226, 0.16875945]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 26, 30, 31, 32, 34, 35, 37, 38]), model=ScalarModel(intercept=0.24170158357350824, linear_terms=array([-0.00012888, -0.00012381]), square_terms=array([[2.60518703e-04, 5.70133267e-03], + [5.70133267e-03, 6.43763482e-01]]), scale=0.087578125, shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=39, candidate_x=array([5.41467648, 0.16830439]), index=37, x=array([5.36139226, 0.16875945]), fval=0.24255208756330368, rho=-1.9714007957034316, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 26, 30, 31, 32, 34, 35, 37, 38]), old_indices_discarded=array([24, 27, 28, 29, 33, 36]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.36139226, 0.16875945]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([26, 30, 31, 32, 34, 35, 37, 38, 39]), model=ScalarModel(intercept=0.2417553910728286, linear_terms=array([ 4.54049262e-05, -4.56249946e-05]), square_terms=array([[6.76405313e-05, 1.43316796e-03], + [1.43316796e-03, 1.60944325e-01]]), scale=0.0437890625, shift=array([5.36139226, 0.16875945])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=40, candidate_x=array([5.31760507, 0.16916422]), index=40, x=array([5.31760507, 0.16916422]), fval=0.24241985946629963, rho=7.194700985609317, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([26, 30, 31, 32, 34, 35, 37, 38, 39]), old_indices_discarded=array([25, 29, 33, 36]), step_length=0.043789062500000274, relative_step_length=1.0000000000000062, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.31760507, 0.16916422]), radius=0.087578125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 30, 31, 32, 34, 37, 38, 39, 40]), model=ScalarModel(intercept=0.24205486457802278, linear_terms=array([0.00023275, 0.000779 ]), square_terms=array([[3.03100394e-04, 5.73493197e-03], + [5.73493197e-03, 6.43806788e-01]]), scale=0.087578125, shift=array([5.31760507, 0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=41, candidate_x=array([5.23002957, 0.16984189]), index=40, x=array([5.31760507, 0.16916422]), fval=0.24241985946629963, rho=-6.146531737571127, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 30, 31, 32, 34, 37, 38, 39, 40]), old_indices_discarded=array([24, 26, 27, 28, 29, 33, 35, 36]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.31760507, 0.16916422]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 30, 31, 32, 34, 37, 38, 40, 41]), model=ScalarModel(intercept=0.24213302949529256, linear_terms=array([-3.78622622e-05, 2.41519221e-04]), square_terms=array([[6.90966248e-05, 1.48098964e-03], + [1.48098964e-03, 1.60965844e-01]]), scale=0.0437890625, shift=array([5.31760507, 0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=42, candidate_x=array([5.36139158, 0.16869151]), index=40, x=array([5.31760507, 0.16916422]), fval=0.24241985946629963, rho=-11.833264403894546, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([25, 30, 31, 32, 34, 37, 38, 40, 41]), old_indices_discarded=array([26, 29, 33, 35, 36, 39]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.31760507, 0.16916422]), radius=0.02189453125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([25, 30, 31, 32, 37, 38, 40, 41, 42]), model=ScalarModel(intercept=0.24265765523257948, linear_terms=array([-0.00010296, -0.00348716]), square_terms=array([[1.52341867e-05, 3.50476207e-04], + [3.50476207e-04, 4.17971723e-02]]), scale=0.02189453125, shift=array([5.31760507, 0.16916422])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + 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old_indices_discarded=array([26, 29, 34, 39]), step_length=0.021964765363485655, relative_step_length=1.0032078381895322, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.0437890625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([30, 31, 32, 37, 38, 39, 40, 42, 43]), model=ScalarModel(intercept=0.2423976703093635, linear_terms=array([-3.01430010e-05, 2.34992933e-04]), square_terms=array([[5.91513482e-05, 1.37667035e-03], + [1.37667035e-03, 1.65820314e-01]]), scale=0.0437890625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], 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41]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.02189453125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([30, 32, 37, 38, 39, 40, 42, 43, 44]), model=ScalarModel(intercept=0.24235348524537714, linear_terms=array([ 5.95198861e-06, -8.48814584e-06]), square_terms=array([[1.47776329e-05, 3.48481891e-04], + [3.48481891e-04, 4.14093403e-02]]), scale=0.02189453125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=45, candidate_x=array([5.32837464, 0.170903 ]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=-24.42199537270614, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([30, 32, 37, 38, 39, 40, 42, 43, 44]), old_indices_discarded=array([25, 26, 31, 34]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.010947265625, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([32, 37, 40, 42, 43, 44, 45]), model=ScalarModel(intercept=0.2422806237585476, linear_terms=array([ 2.67171372e-05, -2.05431480e-04]), square_terms=array([[3.68279483e-06, 8.49740419e-05], + [8.49740419e-05, 1.03070513e-02]]), scale=0.010947265625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=46, candidate_x=array([5.32856345, 0.17111248]), index=43, x=array([5.33950848, 0.17080482]), fval=0.24222716621340298, rho=-2.0149510031231594, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([32, 37, 40, 42, 43, 44, 45]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33950848, 0.17080482]), radius=0.0054736328125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([32, 37, 40, 42, 43, 45, 46]), model=ScalarModel(intercept=0.24229025426011608, linear_terms=array([ 1.48827190e-05, -1.05452116e-04]), square_terms=array([[9.09604685e-07, 2.07560472e-05], + [2.07560472e-05, 2.57873989e-03]]), scale=0.0054736328125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 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0.99]))), model_indices=array([43, 45, 46, 47]), model=ScalarModel(intercept=0.24222624543591792, linear_terms=array([-7.33525171e-06, 2.20337847e-04]), square_terms=array([[2.41748426e-07, 5.48721051e-06], + [5.48721051e-06, 5.94912648e-04]]), scale=0.00273681640625, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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linear_terms=array([-1.02551120e-05, -3.95148592e-05]), square_terms=array([[6.98218857e-08, 1.88148453e-06], + [1.88148453e-06, 1.65041401e-04]]), scale=0.001368408203125, shift=array([5.33950848, 0.17080482])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, 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0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=52, candidate_x=array([5.33814097, 0.17083226]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-0.14512140450342684, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 49, 50, 51]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.33882353, 0.17065423]), radius=0.00034210205078125, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([43, 50, 51, 52]), model=ScalarModel(intercept=0.24222319841032375, linear_terms=array([1.99763146e-06, 5.57738554e-06]), square_terms=array([[3.72373755e-09, 9.11821416e-08], + [9.11821416e-08, 9.85528901e-06]]), scale=0.00034210205078125, shift=array([5.33882353, 0.17065423])), vector_model=VectorModel(intercepts=array([ 0.04424533, 0.09706756, 0.09964179, 0.12817482, 0.14600609, + 0.16462579, 0.18727309, 0.2198423 , 0.14621231, 0.21589468, + -0.09902459, -0.11677074, -0.13794235, -0.11385871, -0.10645744, + -0.10854051, -0.10625494]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.700625, shift=array([7.00625, 0.19375])), candidate_index=53, candidate_x=array([5.33851827, 0.17049811]), index=50, x=array([5.33882353, 0.17065423]), fval=0.24222315394360727, rho=-4.232464647796792, accepted=False, 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n_evals_acceptance=1), State(trustregion=Region(center=array([5.54788763, 0.13840761]), radius=1.5114143553665245, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 11, 12, 13, 14, 15]), model=ScalarModel(intercept=18.794379657430337, linear_terms=array([ 3.28885102, 54.38386836]), square_terms=array([[ 0.31274504, 4.77989803], + [ 4.77989803, 79.59287121]]), scale=array([1.3394561, 0.49 ]), shift=array([5.54788763, 0.5 ])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 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0.13840761]), radius=0.7557071776832622, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 11, 13, 14, 15, 16]), model=ScalarModel(intercept=8.996740109761234, linear_terms=array([ 0.78693981, 28.2331618 ]), square_terms=array([[4.13131262e-02, 1.26605832e+00], + [1.26605832e+00, 4.54928341e+01]]), scale=array([0.66972805, 0.39906783]), shift=array([5.54788763, 0.40906783])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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radius=0.7557071776832622, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 10, 13, 14, 15, 16, 17]), model=ScalarModel(intercept=10.490606167255109, linear_terms=array([ 0.06290294, 33.4368883 ]), square_terms=array([[7.62487103e-03, 9.95079480e-02], + [9.95079480e-02, 5.45079084e+01]]), scale=array([0.66972805, 0.4116761 ]), shift=array([5.41398251, 0.4216761 ])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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radius=0.7557071776832622, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 7, 13, 14, 15, 16, 17, 18]), model=ScalarModel(intercept=2.8790620949739303, linear_terms=array([0.26988009, 8.74126763]), square_terms=array([[ 0.01986858, 0.45368432], + [ 0.45368432, 14.46207235]]), scale=array([0.66972805, 0.41452844]), shift=array([5.24647936, 0.42452844])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + 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bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([ 1, 3, 13, 14, 15, 16, 17, 18, 19]), model=ScalarModel(intercept=0.5133453029704279, linear_terms=array([0.0412064 , 1.66429691]), square_terms=array([[4.79896476e-03, 1.29982477e-01], + [1.29982477e-01, 5.02450715e+00]]), scale=array([0.33486402, 0.24709642]), shift=array([5.24647936, 0.25709642])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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0.99]))), model_indices=array([14, 15, 16, 17, 18, 19, 20]), model=ScalarModel(intercept=0.24991953890636176, linear_terms=array([-0.00132101, 0.11413806]), square_terms=array([[1.14227713e-03, 1.94139880e-02], + [1.94139880e-02, 2.74832485e+00]]), scale=array([0.16743201, 0.16338042]), shift=array([5.24647936, 0.17338042])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + 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model=ScalarModel(intercept=0.24280392898324044, linear_terms=array([-0.00042791, -0.02448472]), square_terms=array([[2.79194455e-04, 7.31380916e-03], + [7.31380916e-03, 7.13962361e-01]]), scale=0.09446339721040778, shift=array([5.24647936, 0.16932883])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + 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linear_terms=array([0.00244388, 0.06648202]), square_terms=array([[1.19336081e-03, 3.24541529e-02], + [3.24541529e-02, 2.37275707e+00]]), scale=array([0.16743201, 0.16451471]), shift=array([5.34091551, 0.17451471])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], 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square_terms=array([[2.79537451e-04, 7.66237713e-03], + [7.66237713e-03, 7.24390446e-01]]), scale=0.09446339721040778, shift=array([5.34091551, 0.17159741])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.7557071776832622, shift=array([7.55707178, 0.15947986])), candidate_index=24, candidate_x=array([5.24354407, 0.17223973]), index=22, x=array([5.34091551, 0.17159741]), fval=0.2423262078217145, rho=-5.7434868783001045, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([14, 17, 18, 19, 20, 21, 22, 23]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.34091551, 0.17159741]), radius=0.04723169860520389, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([14, 17, 18, 21, 22, 23, 24]), model=ScalarModel(intercept=0.24222407360091366, linear_terms=array([-0.00017893, -0.00118479]), square_terms=array([[7.40043144e-05, 1.60823102e-03], + [1.60823102e-03, 1.76208417e-01]]), scale=0.04723169860520389, shift=array([5.34091551, 0.17159741])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.7557071776832622, shift=array([7.55707178, 0.15947986])), candidate_index=25, candidate_x=array([5.38814784, 0.17148398]), index=22, x=array([5.34091551, 0.17159741]), fval=0.2423262078217145, rho=-0.24046453118083538, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([14, 17, 18, 21, 22, 23, 24]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.34091551, 0.17159741]), radius=0.023615849302601945, bounds=Bounds(lower=array([1.1 , 0.01]), upper=array([20. , 0.99]))), model_indices=array([17, 18, 21, 22, 24, 25]), model=ScalarModel(intercept=0.24243549485529609, linear_terms=array([-4.62482233e-05, 1.22755071e-03]), square_terms=array([[1.80610011e-05, 4.38168169e-04], + [4.38168169e-04, 4.79017603e-02]]), scale=0.023615849302601945, shift=array([5.34091551, 0.17159741])), vector_model=VectorModel(intercepts=array([ 0.04372593, 0.09723622, 0.10188573, 0.13262325, 0.15154936, + 0.16923117, 0.18861608, 0.18401939, 0.09682264, 0.1552954 , + -0.16489717, -0.1798028 , -0.14271083, -0.11811719, -0.10957416, + -0.11108474, -0.1079118 ]), linear_terms=array([[0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.], + [0., 0.]]), square_terms=array([[[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]], + + [[0., 0.], + [0., 0.]]]), scale=0.7557071776832622, shift=array([7.55707178, 0.15947986])), candidate_index=26, candidate_x=array([5.36452368, 0.17077702]), index=26, x=array([5.36452368, 0.17077702]), fval=0.24232590102301266, rho=0.004636863515290328, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([17, 18, 21, 22, 24, 25]), old_indices_discarded=array([], dtype=int32), step_length=0.023622419090119764, relative_step_length=1.0002781939973293, n_evals_per_point=1, n_evals_acceptance=1)], 'message': 'Absolute criterion change smaller than tolerance.', 'tranquilo_history': History for least_squares function with 27 entries., 'history': {'params': [{'CRRA': 7.557071776832622, 'WealthShare': 0.15947986291737937}, {'CRRA': 6.887343728211803, 'WealthShare': 0.013137857270913678}, {'CRRA': 8.22679982545344, 'WealthShare': 0.33278788031954126}, {'CRRA': 6.887343728211803, 'WealthShare': 0.4927195085070417}, {'CRRA': 8.22679982545344, 'WealthShare': 0.8233666446704474}, {'CRRA': 7.6877492399818115, 'WealthShare': 0.01}, {'CRRA': 8.22679982545344, 'WealthShare': 0.014431776924461504}, {'CRRA': 6.887343728211803, 'WealthShare': 0.5044867019135671}, {'CRRA': 8.22679982545344, 'WealthShare': 0.6439347881014327}, {'CRRA': 8.22679982545344, 'WealthShare': 0.8286676871687395}, {'CRRA': 6.888144129782968, 'WealthShare': 0.829207911538198}, {'CRRA': 7.292700445703663, 'WealthShare': 0.01}, {'CRRA': 7.3755390376972425, 'WealthShare': 0.829207911538198}, {'CRRA': 6.887343728211803, 'WealthShare': 0.13052177573508408}, {'CRRA': 5.547887630970166, 'WealthShare': 0.13840761057808626}, {'CRRA': 4.770403559848555, 'WealthShare': 0.12211118058865711}, {'CRRA': 4.355881206682243, 'WealthShare': 0.19138224232966042}, {'CRRA': 5.413982512136979, 'WealthShare': 0.16362415189967155}, {'CRRA': 5.246479361728566, 'WealthShare': 0.16932882505745808}, {'CRRA': 5.762063127158538, 'WealthShare': 0.1639652195341865}, {'CRRA': 5.581343386038975, 'WealthShare': 0.16885692016159012}, {'CRRA': 5.292164748029701, 'WealthShare': 0.16625553267531312}, {'CRRA': 5.340915514376363, 'WealthShare': 0.17159741175699056}, {'CRRA': 5.199939503168527, 'WealthShare': 0.1717711380449}, {'CRRA': 5.243544072816682, 'WealthShare': 0.17223972982564176}, {'CRRA': 5.388147840073009, 'WealthShare': 0.17148397634254275}, {'CRRA': 5.364523683205526, 'WealthShare': 0.17077701660648517}], 'criterion': [0.3237027602159698, 0.7812967907209172, 1.2463667430775796, 5.3731601742222, 83.85576746268217, 0.6845161962193543, 0.6204394025802298, 5.923680424712876, 14.623295430433139, 89.28677844528951, 112.97532984686313, 0.7343607833893859, 103.50996033506941, 0.2998665188430385, 0.281460321662095, 0.37742949555588207, 0.2981488331322679, 0.24430617695746668, 0.24296186338597675, 0.24637026776611792, 0.24311726730149846, 0.24366070482725372, 0.24232620782171452, 0.24322374032290844, 0.2429668792738361, 0.24236046007028705, 0.24232590102301269], 'runtime': [0.0, 1.0250599999999395, 1.058876500000224, 1.1023470000000088, 1.1319170000006125, 1.1671031000005314, 1.206762400000116, 1.2432363000007172, 1.279717299999902, 1.3159568999999465, 1.3504640999999538, 1.3877644000003784, 1.4233029000006354, 2.5059375000000728, 3.562175600000046, 4.595889600000191, 5.639652100000603, 6.6541831000004095, 7.635201500000221, 8.66117900000063, 9.637307400000282, 10.756288100000347, 11.734991199999968, 12.70945860000029, 13.692969900000207, 14.680902900000547, 15.703160400000343], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]}}], 'exploration_sample': array([[ 7.00625 , 0.19375 ], + [12.9125 , 0.1325 ], + [ 4.64375 , 0.31625 ], + [ 8.1875 , 0.3775 ], + [15.275 , 0.255 ], + [17.046875, 0.224375], + [11.73125 , 0.43875 ], + [18.81875 , 0.07125 ], + [ 2. , 0.05 ], + [10.55 , 0.5 ], + [ 9.36875 , 0.56125 ], + [16.45625 , 0.68375 ], + [ 2.871875, 0.469375], + [ 7.596875, 0.714375], + [14.09375 , 0.80625 ], + [ 3.4625 , 0.6225 ], + [17.6375 , 0.8675 ], + [ 5.825 , 0.745 ], + [12.321875, 0.959375], + [ 2.28125 , 0.92875 ]]), 'exploration_results': array([3.27384376e-01, 1.14034055e+00, 1.50312179e+00, 1.79325436e+00, + 2.08879824e+00, 2.54067782e+00, 2.64114350e+00, 2.73814230e+00, + 3.18114653e+00, 3.83228381e+00, 6.46248546e+00, 9.30118040e+00, + 1.59966394e+01, 3.03715662e+01, 3.38771067e+01, 4.26926083e+01, + 5.84656546e+01, 5.90505617e+01, 5.22500282e+02, 9.01924413e+02])}}" diff --git a/src/do_all.py b/src/do_all.py index 659f3fc..73a6dee 100644 --- a/src/do_all.py +++ b/src/do_all.py @@ -136,7 +136,9 @@ def run_replication(): else: print("Invalid replication choice.") return - + + if subjective_markets == "": + subjective_markets = "1" if int(subjective_markets) > 1: agent_name += "Sub" diff --git a/src/estimark/content/tables/min/WarmGlowPortfolio_estimate_results.csv b/src/estimark/content/tables/min/WarmGlowPortfolio_estimate_results.csv index 3dfdd53..1d87214 100644 --- a/src/estimark/content/tables/min/WarmGlowPortfolio_estimate_results.csv +++ b/src/estimark/content/tables/min/WarmGlowPortfolio_estimate_results.csv @@ -1,6643 +1,22826 @@ -CRRA,4.972059127341761 - -BeqFac,2235.66869440018 - -time_to_estimate,120.60259437561035 - -params,"{'CRRA': 4.972059127341761, 'BeqFac': 2235.66869440018}" - -criterion,0.15183333483370898 - -start_criterion,0.14974471998399175 - -start_params,"{'CRRA': 4.972165469041286, 'BeqFac': 2235.668701887974}" - -algorithm,multistart_tranquilo_ls - -direction,minimize - -n_free,2 - -message,Absolute criterion change smaller than tolerance. - -success, - -n_criterion_evaluations, - -n_derivative_evaluations, - -n_iterations, - -history,"{'params': [{'CRRA': 4.972165469041287, 'BeqFac': 2235.668701887974}, {'CRRA': 1.1, 'BeqFac': 2038.2167591428197}, {'CRRA': 20.0, 'BeqFac': 2200.680349896351}, {'CRRA': 1.1, 'BeqFac': 2429.9412094587697}, {'CRRA': 19.832484492263543, 'BeqFac': 2433.7996818884876}, {'CRRA': 19.93169977776446, 'BeqFac': 2037.53772188746}, {'CRRA': 20.0, 'BeqFac': 2064.4481322185475}, {'CRRA': 1.1, 'BeqFac': 2332.634198828065}, {'CRRA': 20.0, 'BeqFac': 2322.498125139562}, {'CRRA': 18.700329294200046, 'BeqFac': 2433.7996818884876}, {'CRRA': 1.1, 'BeqFac': 2430.302509845014}, {'CRRA': 7.813833384306793, 'BeqFac': 2037.53772188746}, {'CRRA': 8.624550632134087, 'BeqFac': 2433.7996818884876}, {'CRRA': 17.981702297455875, 'BeqFac': 2037.53772188746}, {'CRRA': 18.109298496140873, 'BeqFac': 2136.603211887717}, {'CRRA': 19.930536834777662, 'BeqFac': 2186.135956887845}, {'CRRA': 20.0, 'BeqFac': 2210.9023293879095}, {'CRRA': 4.079012994666991, 'BeqFac': 2248.051888138006}, {'CRRA': 3.121220401269943, 'BeqFac': 2241.86029501299}, {'CRRA': 4.8421373902763785, 'BeqFac': 2239.1595207269393}, {'CRRA': 4.935891618489661, 'BeqFac': 2237.414959439111}, {'CRRA': 4.960910699246413, 'BeqFac': 2234.79536779911}, {'CRRA': 4.975594073396457, 'BeqFac': 2236.1053544720567}, {'CRRA': 5.031762747602235, 'BeqFac': 2235.4503996289804}, {'CRRA': 4.95481938313597, 'BeqFac': 2235.5595356176655}, {'CRRA': 4.962658187223382, 'BeqFac': 2235.723260832982}, {'CRRA': 4.976595860461234, 'BeqFac': 2235.641409064533}, {'CRRA': 4.985643978352027, 'BeqFac': 2235.670829747999}, {'CRRA': 4.965480731774778, 'BeqFac': 2235.6673366817404}, {'CRRA': 4.9715471211216276, 'BeqFac': 2235.672056738335}, {'CRRA': 4.973852096731626, 'BeqFac': 2235.6684476620744}, {'CRRA': 4.9713764830158755, 'BeqFac': 2235.6683781025586}, {'CRRA': 4.972141953092093, 'BeqFac': 2235.669128923647}, {'CRRA': 4.972378447740231, 'BeqFac': 2235.6687118162295}, {'CRRA': 4.972059127341761, 'BeqFac': 2235.66869440018}], 'criterion': [0.15183336484019694, 1599.2256506697936, 8.33792735607635, 1628.996184127626, 7.942067008283367, 8.173798608673742, 8.33777080025052, 1622.3971740217662, 8.338047223703619, 5.70897681494281, 1629.0195228262494, 0.4459772753262474, 0.5044697780491717, 4.621902068591304, 4.800133525579624, 8.171500062212324, 8.337937651588279, 0.5669929910375328, 6.5167800463917995, 0.15533004766705152, 0.1521320528374574, 0.15187972532160543, 0.15186895370600006, 0.15287286421734658, 0.1519085924789972, 0.1518749282368537, 0.15186803665511617, 0.15194576604337082, 0.15186614554536748, 0.15183882851267255, 0.1518437390370875, 0.1518413460232434, 0.15183338142448646, 0.15183419903764392, 0.15183333483370898], 'runtime': [0.0, 3.234110999852419, 3.3567784996703267, 3.607193300034851, 3.782226899638772, 3.974268099758774, 4.16790989972651, 4.338716899976134, 4.589133599773049, 4.924178099725395, 5.076727400068194, 5.272234600037336, 5.437637999653816, 6.631617899984121, 7.839812099933624, 9.029853600077331, 10.224262000061572, 11.426363199949265, 12.594932300038636, 13.766675599850714, 14.943977899849415, 16.25537579972297, 17.437238699756563, 18.621162499766797, 19.853813599795103, 21.03928539995104, 22.241678999736905, 23.42911219969392, 24.757420799694955, 25.978194700088352, 27.192072699777782, 28.37384819984436, 29.543620300013572, 30.743656399659812, 31.96393799968064], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]}" - -convergence_report, - -multistart_info,"{'start_parameters': [{'CRRA': 4.972165469041287, 'BeqFac': 2235.668701887974}, {'CRRA': 5.221879724992187, 'BeqFac': 3777.5556353977354}], 'local_optima': [Minimize with 2 free parameters terminated. - -The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. - -Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: - - one_step five_steps -relative_criterion_change 1.976e-07* 1.976e-07* -relative_params_change 2.139e-05 2.139e-05 -absolute_criterion_change 3.001e-08* 3.001e-08* -absolute_params_change 0.0001066 0.0001066 - -(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 2 free parameters terminated. - -The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. - -Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: - - one_step five_steps -relative_criterion_change 2.639e-07* 0.0006443 -relative_params_change 2.12e-06* 0.002311 -absolute_criterion_change 4.695e-08* 0.0001146 -absolute_params_change 1.126e-05 6.64 - -(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.)], 'exploration_sample': [{'CRRA': 4.972165469041286, 'BeqFac': 2235.668701887974}, {'CRRA': 5.824999999999999, 'BeqFac': 7500.0}, {'CRRA': 4.64375, 'BeqFac': 3125.0}, {'CRRA': 7.596874999999999, 'BeqFac': 7187.5}, {'CRRA': 7.00625, 'BeqFac': 1875.0}, {'CRRA': 8.1875, 'BeqFac': 3750.0}, {'CRRA': 9.368749999999999, 'BeqFac': 5625.0}, {'CRRA': 10.549999999999999, 'BeqFac': 5000.0}, {'CRRA': 11.73125, 'BeqFac': 4375.0}, {'CRRA': 12.321874999999999, 'BeqFac': 9687.5}, {'CRRA': 12.9125, 'BeqFac': 1250.0}, {'CRRA': 14.093749999999998, 'BeqFac': 8125.0}, {'CRRA': 15.274999999999999, 'BeqFac': 2500.0}, {'CRRA': 16.45625, 'BeqFac': 6875.0}, {'CRRA': 17.046875, 'BeqFac': 2187.5}, {'CRRA': 17.6375, 'BeqFac': 8750.0}, {'CRRA': 18.81875, 'BeqFac': 625.0}, {'CRRA': 3.4625, 'BeqFac': 6250.0}, {'CRRA': 2.871875, 'BeqFac': 4687.5}, {'CRRA': 2.28125, 'BeqFac': 9375.0}], 'exploration_results': array([1.51833365e-01, 2.18154716e-01, 2.63875842e-01, 3.77381203e-01, - 3.83108040e-01, 4.55042643e-01, 5.57986156e-01, 6.96479632e-01, - 8.83084679e-01, 1.01143958e+00, 1.14406241e+00, 1.54612379e+00, - 2.11582828e+00, 2.96340381e+00, 3.51474071e+00, 4.18178301e+00, - 5.91221015e+00, 7.72175220e+00, 2.55327213e+01, 2.20727523e+02])}" - -algorithm_output,"{'states': [State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=223.5668701887974, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=[0], model=ScalarModel(intercept=0.15183336484019694, linear_terms=array([0., 0.]), square_terms=array([[0., 0.], - [0., 0.]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=0, candidate_x=array([ 4.97216547, 2235.66870189]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=nan, accepted=True, new_indices=[0], old_indices_used=[], old_indices_discarded=[], step_length=None, relative_step_length=None, n_evals_per_point=None, n_evals_acceptance=None), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=223.5668701887974, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), model=ScalarModel(intercept=196.12406005340955, linear_terms=array([-428.74914009, 49.95239728]), square_terms=array([[475.26532472, -54.98930881], - [-54.98930881, 6.38449896]]), scale=array([ 9.45 , 198.13098]), shift=array([ 10.55 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=13, candidate_x=array([ 17.9817023 , 2037.53772189]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.008440716478759814, accepted=False, new_indices=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]), old_indices_used=array([0]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=111.7834350943987, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 1, 2, 3, 6, 7, 8, 10, 11]), model=ScalarModel(intercept=242.07061318310053, linear_terms=array([-471.89691667, 101.1889206 ]), square_terms=array([[465.88374262, -99.22450662], - [-99.22450662, 21.20996444]]), scale=array([ 9.45 , 99.06549]), shift=array([ 10.55 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=14, candidate_x=array([ 18.1092985 , 2136.60321189]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.007755830036420791, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 1, 2, 3, 6, 7, 8, 10, 11]), old_indices_discarded=array([ 4, 5, 9, 12, 13]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=55.89171754719935, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 1, 2, 3, 6, 7, 8, 10, 14]), model=ScalarModel(intercept=298.87379830095927, linear_terms=array([-576.79607872, 19.05034093]), square_terms=array([[562.44777715, -18.48262992], - [-18.48262992, 0.60886349]]), scale=array([ 9.45 , 49.532745]), shift=array([ 10.55 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=15, candidate_x=array([ 19.93053683, 2186.13595689]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.010921826812679862, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 1, 2, 3, 6, 7, 8, 10, 14]), old_indices_discarded=array([ 4, 5, 9, 11, 12, 13]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=27.945858773599674, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 2, 7, 8, 14, 15]), model=ScalarModel(intercept=131.07369976203483, linear_terms=array([-204.19706036, 40.77897837]), square_terms=array([[163.90069793, -32.18422025], - [-32.18422025, 6.38059561]]), scale=array([ 9.45 , 24.7663725]), shift=array([ 10.55 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=16, candidate_x=array([ 20. , 2210.90232939]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.029581696796089584, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 7, 8, 14, 15]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=13.972929386799837, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 2, 15, 16]), model=ScalarModel(intercept=0.9873239325348305, linear_terms=array([2.73907339, 0.01391224]), square_terms=array([[4.36743207e+00, 2.75767161e-02], - [2.75767161e-02, 2.41056737e-04]]), scale=array([ 8.12767586, 12.38318625]), shift=array([ 9.22767586, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=17, candidate_x=array([ 4.07901299, 2248.05188814]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-15.504804046764184, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 15, 16]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=6.986464693399919, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 16, 17]), model=ScalarModel(intercept=0.3431675848933713, linear_terms=array([1.33281827, 0.32943084]), square_terms=array([[4.36179571, 1.27691822], - [1.27691822, 0.39380953]]), scale=array([5.0318793 , 6.19159313]), shift=array([ 6.1318793 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=18, candidate_x=array([ 3.1212204 , 2241.86029501]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-100.94273410330236, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 16, 17]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=3.4932323466999593, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 17, 18]), model=ScalarModel(intercept=0.15183336484019672, linear_terms=array([-0.12431539, -0.0055439 ]), square_terms=array([[59.59210104, 2.34414471], - [ 2.34414471, 0.09228281]]), scale=3.4932323466999593, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=19, candidate_x=array([ 4.84213739, 2239.15952073]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-4.681921220989647, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 17, 18]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=1.7466161733499797, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19]), model=ScalarModel(intercept=0.15183336484019672, linear_terms=array([-0.06103675, -0.00243685]), square_terms=array([[1.34115073e+01, 3.39655978e-01], - [3.39655978e-01, 8.60970305e-03]]), scale=1.7466161733499797, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=20, candidate_x=array([ 4.93589162, 2237.41495944]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.29114147897803394, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.8733080866749898, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 19, 20]), model=ScalarModel(intercept=0.15183336484019688, linear_terms=array([0.00582774, 0.00013542]), square_terms=array([[3.87857288e-01, 8.27620950e-04], - [8.27620950e-04, 2.06651665e-06]]), scale=0.8733080866749898, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=21, candidate_x=array([ 4.9609107, 2234.7953678]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.27824291525666955, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 19, 20]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.4366540433374949, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 20, 21]), model=ScalarModel(intercept=0.15183336484019702, linear_terms=array([-5.56309005e-04, -4.37454587e-06]), square_terms=array([[ 7.50279995e-02, -3.28466129e-05], - [-3.28466129e-05, 2.15202300e-08]]), scale=0.4366540433374949, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=22, candidate_x=array([ 4.97559407, 2236.10535447]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-5.330119577173148, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 20, 21]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.21832702166874746, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 21, 22]), model=ScalarModel(intercept=0.15183336484019683, linear_terms=array([-4.45403999e-03, 5.16279055e-05]), square_terms=array([[1.62881565e-02, 6.77124384e-06], - [6.77124384e-06, 2.92278248e-08]]), scale=0.21832702166874746, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=23, candidate_x=array([ 5.03176275, 2235.45039963]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.5692018274741517, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 21, 22]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.10916351083437373, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 22, 23]), model=ScalarModel(intercept=0.1518333648401971, linear_terms=array([7.05546057e-04, 2.78738861e-06]), square_terms=array([[4.43307710e-03, 7.04906076e-07], - [7.04906076e-07, 5.61544409e-10]]), scale=0.10916351083437373, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=24, candidate_x=array([ 4.95481938, 2235.55953562]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.2789338326888193, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 22, 23]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.054581755417186864, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 23, 24]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([ 2.00591466e-04, -4.01524035e-05]), square_terms=array([[1.12660455e-03, 2.72179550e-06], - [2.72179550e-06, 2.34943617e-08]]), scale=0.054581755417186864, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=25, candidate_x=array([ 4.96265819, 2235.72326083]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.7111299458870474, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 23, 24]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.027290877708593432, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 24, 25]), model=ScalarModel(intercept=0.15183336484019697, linear_terms=array([-4.80890903e-05, 3.50155615e-06]), square_terms=array([[ 2.91958192e-04, -1.28086238e-07], - [-1.28086238e-07, 2.58764850e-09]]), scale=0.027290877708593432, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=26, candidate_x=array([ 4.97659586, 2235.64140906]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-4.660612278998031, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 24, 25]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.013645438854296716, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 25, 26]), model=ScalarModel(intercept=0.15183336484019688, linear_terms=array([-0.0017766 , -0.00030364]), square_terms=array([[4.26905240e-05, 1.06728380e-06], - [1.06728380e-06, 1.30381617e-06]]), scale=0.013645438854296716, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=27, candidate_x=array([ 4.98564398, 2235.67082975]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.06310400218678887, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 25, 26]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.006822719427148358, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 26, 27]), model=ScalarModel(intercept=0.1518333648401969, linear_terms=array([ 3.88679056e-05, -1.31679513e-06]), square_terms=array([[ 1.84940973e-05, -1.00210163e-07], - [-1.00210163e-07, 6.96346430e-10]]), scale=0.006822719427148358, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=28, candidate_x=array([ 4.96548073, 2235.66733668]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.131884231761533, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 26, 27]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.003411359713574179, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 27, 28]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([ 0.00012663, -0.00067966]), square_terms=array([[ 4.68892805e-06, -6.61282339e-07], - [-6.61282339e-07, 5.43609914e-06]]), scale=0.003411359713574179, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=29, candidate_x=array([ 4.97154712, 2235.67205674]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.007935207946049206, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 27, 28]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0017056798567870895, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 28, 29]), model=ScalarModel(intercept=0.15183336484019697, linear_terms=array([-6.40650622e-06, 1.55695709e-06]), square_terms=array([[ 1.1627052e-06, -3.2284109e-09], - [-3.2284109e-09, 6.7517919e-11]]), scale=0.0017056798567870895, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=30, candidate_x=array([ 4.9738521 , 2235.66844766]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.7295829977132826, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 28, 29]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0008528399283935448, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 29, 30]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([5.29250449e-06, 2.34437075e-06]), square_terms=array([[3.10374558e-07, 1.18891884e-09], - [1.18891884e-09, 8.34845812e-11]]), scale=0.0008528399283935448, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=31, candidate_x=array([ 4.97137648, 2235.6683781 ]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.411835483329116, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 29, 30]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0004264199641967724, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 30, 31]), model=ScalarModel(intercept=0.15183336484019694, linear_terms=array([ 6.65954541e-07, -1.19658346e-05]), square_terms=array([[ 7.65782868e-08, -2.91682815e-09], - [-2.91682815e-09, 2.06495167e-09]]), scale=0.0004264199641967724, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - 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[1.44466078e-11, 7.36990793e-13]]), scale=0.0002132099820983862, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 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4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=34, candidate_x=array([ 4.97205913, 2235.6686944 ]), index=34, x=array([ 4.97205913, 2235.6686944 ]), fval=0.15183333483370898, rho=0.07308056702929565, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 32, 33]), old_indices_discarded=array([], dtype=int32), step_length=0.00010660499104711433, relative_step_length=0.9999999999805003, n_evals_per_point=1, n_evals_acceptance=1)], 'tranquilo_history': History for least_squares function with 35 entries., 'multistart_info': {'start_parameters': [array([ 4.97216547, 2235.66870189]), array([ 5.22187972, 3777.5556354 ])], 'local_optima': [{'solution_x': array([ 4.97205913, 2235.6686944 ]), 'solution_criterion': 0.15183333483370898, 'states': [State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=223.5668701887974, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=[0], model=ScalarModel(intercept=0.15183336484019694, linear_terms=array([0., 0.]), square_terms=array([[0., 0.], - [0., 0.]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - 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-0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=17, candidate_x=array([ 4.07901299, 2248.05188814]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-15.504804046764184, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 15, 16]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=6.986464693399919, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 16, 17]), model=ScalarModel(intercept=0.3431675848933713, linear_terms=array([1.33281827, 0.32943084]), square_terms=array([[4.36179571, 1.27691822], - [1.27691822, 0.39380953]]), scale=array([5.0318793 , 6.19159313]), shift=array([ 6.1318793 , 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=18, candidate_x=array([ 3.1212204 , 2241.86029501]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-100.94273410330236, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 16, 17]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=3.4932323466999593, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 17, 18]), model=ScalarModel(intercept=0.15183336484019672, linear_terms=array([-0.12431539, -0.0055439 ]), square_terms=array([[59.59210104, 2.34414471], - [ 2.34414471, 0.09228281]]), scale=3.4932323466999593, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=19, candidate_x=array([ 4.84213739, 2239.15952073]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-4.681921220989647, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 17, 18]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=1.7466161733499797, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19]), model=ScalarModel(intercept=0.15183336484019672, linear_terms=array([-0.06103675, -0.00243685]), square_terms=array([[1.34115073e+01, 3.39655978e-01], - [3.39655978e-01, 8.60970305e-03]]), scale=1.7466161733499797, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=20, candidate_x=array([ 4.93589162, 2237.41495944]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.29114147897803394, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.8733080866749898, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 19, 20]), model=ScalarModel(intercept=0.15183336484019688, linear_terms=array([0.00582774, 0.00013542]), square_terms=array([[3.87857288e-01, 8.27620950e-04], - [8.27620950e-04, 2.06651665e-06]]), scale=0.8733080866749898, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=21, candidate_x=array([ 4.9609107, 2234.7953678]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.27824291525666955, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 19, 20]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.4366540433374949, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 20, 21]), model=ScalarModel(intercept=0.15183336484019702, linear_terms=array([-5.56309005e-04, -4.37454587e-06]), square_terms=array([[ 7.50279995e-02, -3.28466129e-05], - [-3.28466129e-05, 2.15202300e-08]]), scale=0.4366540433374949, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=22, candidate_x=array([ 4.97559407, 2236.10535447]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-5.330119577173148, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 20, 21]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.21832702166874746, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 21, 22]), model=ScalarModel(intercept=0.15183336484019683, linear_terms=array([-4.45403999e-03, 5.16279055e-05]), square_terms=array([[1.62881565e-02, 6.77124384e-06], - [6.77124384e-06, 2.92278248e-08]]), scale=0.21832702166874746, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=23, candidate_x=array([ 5.03176275, 2235.45039963]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.5692018274741517, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 21, 22]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.10916351083437373, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 22, 23]), model=ScalarModel(intercept=0.1518333648401971, linear_terms=array([7.05546057e-04, 2.78738861e-06]), square_terms=array([[4.43307710e-03, 7.04906076e-07], - [7.04906076e-07, 5.61544409e-10]]), scale=0.10916351083437373, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=24, candidate_x=array([ 4.95481938, 2235.55953562]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.2789338326888193, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 22, 23]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.054581755417186864, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 23, 24]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([ 2.00591466e-04, -4.01524035e-05]), square_terms=array([[1.12660455e-03, 2.72179550e-06], - [2.72179550e-06, 2.34943617e-08]]), scale=0.054581755417186864, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=25, candidate_x=array([ 4.96265819, 2235.72326083]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.7111299458870474, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 23, 24]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.027290877708593432, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 24, 25]), model=ScalarModel(intercept=0.15183336484019697, linear_terms=array([-4.80890903e-05, 3.50155615e-06]), square_terms=array([[ 2.91958192e-04, -1.28086238e-07], - [-1.28086238e-07, 2.58764850e-09]]), scale=0.027290877708593432, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=26, candidate_x=array([ 4.97659586, 2235.64140906]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-4.660612278998031, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 24, 25]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.013645438854296716, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 25, 26]), model=ScalarModel(intercept=0.15183336484019688, linear_terms=array([-0.0017766 , -0.00030364]), square_terms=array([[4.26905240e-05, 1.06728380e-06], - [1.06728380e-06, 1.30381617e-06]]), scale=0.013645438854296716, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=27, candidate_x=array([ 4.98564398, 2235.67082975]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.06310400218678887, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 25, 26]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.006822719427148358, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 26, 27]), model=ScalarModel(intercept=0.1518333648401969, linear_terms=array([ 3.88679056e-05, -1.31679513e-06]), square_terms=array([[ 1.84940973e-05, -1.00210163e-07], - [-1.00210163e-07, 6.96346430e-10]]), scale=0.006822719427148358, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=28, candidate_x=array([ 4.96548073, 2235.66733668]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.131884231761533, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 26, 27]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.003411359713574179, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 27, 28]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([ 0.00012663, -0.00067966]), square_terms=array([[ 4.68892805e-06, -6.61282339e-07], - [-6.61282339e-07, 5.43609914e-06]]), scale=0.003411359713574179, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=29, candidate_x=array([ 4.97154712, 2235.67205674]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-0.007935207946049206, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 27, 28]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0017056798567870895, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 28, 29]), model=ScalarModel(intercept=0.15183336484019697, linear_terms=array([-6.40650622e-06, 1.55695709e-06]), square_terms=array([[ 1.1627052e-06, -3.2284109e-09], - [-3.2284109e-09, 6.7517919e-11]]), scale=0.0017056798567870895, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=30, candidate_x=array([ 4.9738521 , 2235.66844766]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.7295829977132826, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 28, 29]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0008528399283935448, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 29, 30]), model=ScalarModel(intercept=0.151833364840197, linear_terms=array([5.29250449e-06, 2.34437075e-06]), square_terms=array([[3.10374558e-07, 1.18891884e-09], - [1.18891884e-09, 8.34845812e-11]]), scale=0.0008528399283935448, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=223.5668701887974, shift=array([ 4.97216547, 2235.66870189])), candidate_index=31, candidate_x=array([ 4.97137648, 2235.6683781 ]), index=0, x=array([ 4.97216547, 2235.66870189]), fval=0.15183336484019694, rho=-1.411835483329116, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 29, 30]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 4.97216547, 2235.66870189]), radius=0.0004264199641967724, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 30, 31]), model=ScalarModel(intercept=0.15183336484019694, linear_terms=array([ 6.65954541e-07, -1.19658346e-05]), square_terms=array([[ 7.65782868e-08, -2.91682815e-09], - [-2.91682815e-09, 2.06495167e-09]]), scale=0.0004264199641967724, shift=array([ 4.97216547, 2235.66870189])), vector_model=VectorModel(intercepts=array([ 0.06291566, 0.1164343 , 0.10823532, 0.12189129, 0.12343732, - 0.12357637, 0.12479259, 0.09432371, 0.01973898, 0.10842372, - -0.14822489, -0.07394217, -0.01698702, -0.0183285 , -0.03672195, - -0.06411929, -0.08426122]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 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accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 7, 8, 14, 15]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.22187972, 3777.5556354 ]), radius=23.609722721235848, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 2, 15, 16]), model=ScalarModel(intercept=1.0792632152960797, linear_terms=array([ 2.4820159 , -0.22529719]), square_terms=array([[ 3.14659679, -0.3739566 ], - [-0.3739566 , 0.08599544]]), scale=array([ 9.45 , 20.92357198]), shift=array([ 10.55 , 3777.5556354])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=17, candidate_x=array([1.97281582e+00, 3.75663206e+03]), index=0, x=array([ 5.22187972, 3777.5556354 ]), fval=0.18001363343527702, rho=-2206.1465729495585, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 15, 16]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.22187972, 3777.5556354 ]), radius=11.804861360617924, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 16, 17]), model=ScalarModel(intercept=25.62010487127418, linear_terms=array([117.78318548, 58.17307866]), square_terms=array([[272.64693372, 135.19717176], - [135.19717176, 67.23744252]]), scale=array([ 7.29183286, 10.46178599]), shift=array([ 8.39183286, 3777.5556354 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=18, candidate_x=array([1.93725403e+00, 3.78712261e+03]), index=0, x=array([ 5.22187972, 3777.5556354 ]), fval=0.18001363343527702, rho=-2430.2081480860656, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 16, 17]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.22187972, 3777.5556354 ]), radius=5.902430680308962, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 17, 18]), model=ScalarModel(intercept=8.66476096620099, linear_terms=array([145.36114645, -0.79163954]), square_terms=array([[ 1.24486907e+03, -6.74089224e+00], - [-6.74089224e+00, 3.66585907e-02]]), scale=array([4.67638636, 5.23089299]), shift=array([ 5.77638636, 3777.5556354 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=19, candidate_x=array([ 5.2556554 , 3782.78652839]), index=19, x=array([ 5.2556554 , 3782.78652839]), fval=0.1790480946691564, rho=0.14916612695895556, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 17, 18]), old_indices_discarded=array([], dtype=int32), step_length=5.231002037487718, relative_step_length=0.8862453997026699, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.2556554 , 3782.78652839]), radius=11.804861360617924, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 16, 17, 18, 19]), model=ScalarModel(intercept=0.4447192260530918, linear_terms=array([3.28591072, 0.7575156 ]), square_terms=array([[238.5254968 , 72.82153083], - [ 72.82153083, 22.31236539]]), scale=array([ 7.30872069, 10.46178599]), shift=array([ 8.40872069, 3782.78652839])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - 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radius=5.902430680308962, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 17, 18, 19, 20]), model=ScalarModel(intercept=2.0924308511078555, linear_terms=array([64.90826608, -1.00041399]), square_terms=array([[ 1.10459211e+03, -1.69795324e+01], - [-1.69795324e+01, 2.61125536e-01]]), scale=array([4.6932742 , 5.23089299]), shift=array([ 5.7932742 , 3782.78652839])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - 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upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19, 20, 21]), model=ScalarModel(intercept=0.60991129558898, linear_terms=array([-18.6614341 , 0.97529584]), square_terms=array([[405.20779142, -21.11615795], - [-21.11615795, 1.10050394]]), scale=2.951215340154481, shift=array([ 5.2556554 , 3782.78652839])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=22, candidate_x=array([ 5.23761814, 3779.8322601 ]), index=19, x=array([ 5.2556554 , 3782.78652839]), fval=0.1790480946691564, rho=-0.0010014817794215035, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19, 20, 21]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.2556554 , 3782.78652839]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19, 21, 22]), model=ScalarModel(intercept=0.41578081033668957, linear_terms=array([-7.17900081, 0.24007703]), square_terms=array([[108.78543013, -3.63193691], - [ -3.63193691, 0.12126679]]), scale=1.4756076700772405, shift=array([ 5.2556554 , 3782.78652839])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=23, candidate_x=array([ 5.30368819, 3781.308501 ]), index=23, x=array([ 5.30368819, 3781.308501 ]), fval=0.17826845863091118, rho=0.003285830316841221, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19, 21, 22]), old_indices_discarded=array([], dtype=int32), step_length=1.4788076701997628, relative_step_length=1.002168598190029, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30368819, 3781.308501 ]), radius=0.7378038350386202, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([19, 22, 23]), model=ScalarModel(intercept=0.1782684586309113, linear_terms=array([-5.28954140e-03, 1.23810918e-05]), square_terms=array([[ 1.91842376e-01, -2.99622408e-05], - [-2.99622408e-05, 9.50955359e-09]]), scale=0.7378038350386202, shift=array([ 5.30368819, 3781.308501 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=24, candidate_x=array([ 5.32391471, 3780.570694 ]), index=24, x=array([ 5.32391471, 3780.570694 ]), fval=0.17821555165650368, rho=0.6263026754271765, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([19, 22, 23]), old_indices_discarded=array([], dtype=int32), step_length=0.7380841996028342, relative_step_length=1.0003799987895148, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32391471, 3780.570694 ]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19, 22, 23, 24]), model=ScalarModel(intercept=0.24230953303511943, linear_terms=array([ 3.90781316, -0.04141651]), square_terms=array([[ 1.18917531e+02, -1.26160659e+00], - [-1.26160659e+00, 1.33856432e-02]]), scale=1.4756076700772405, shift=array([ 5.32391471, 3780.570694 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=25, candidate_x=array([ 5.2597755 , 3779.09568551]), index=24, x=array([ 5.32391471, 3780.570694 ]), fval=0.17821555165650368, rho=-0.010118979823408489, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19, 22, 23, 24]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32391471, 3780.570694 ]), radius=0.7378038350386202, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 19, 22, 23, 24, 25]), model=ScalarModel(intercept=0.17820071640857027, linear_terms=array([-1.27240763e-05, 7.59106514e-06]), square_terms=array([[1.89453695e-01, 2.97857263e-07], - [2.97857263e-07, 1.58135601e-09]]), scale=0.7378038350386202, shift=array([ 5.32391471, 3780.570694 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - 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scale=1.4756076700772405, shift=array([ 5.32396542, 3779.83289016])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=27, candidate_x=array([ 5.32393177, 3778.35728249]), index=27, x=array([ 5.32393177, 3778.35728249]), fval=0.17818383067605373, rho=1.4687207826788418, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 19, 22, 23, 24, 25, 26]), old_indices_discarded=array([], dtype=int32), step_length=1.475607671493286, relative_step_length=1.0000000009596355, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32393177, 3778.35728249]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 18, 19, 22, 23, 24, 25, 26, 27]), model=ScalarModel(intercept=0.23681559100061073, linear_terms=array([ 7.52400864, -0.03697853]), square_terms=array([[ 4.81922118e+02, -2.37216170e+00], - [-2.37216170e+00, 1.16774340e-02]]), scale=2.951215340154481, shift=array([ 5.32393177, 3778.35728249])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=28, candidate_x=array([ 5.26333048, 3775.40633 ]), index=27, x=array([ 5.32393177, 3778.35728249]), fval=0.17818383067605373, rho=-0.008422541073735482, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 18, 19, 22, 23, 24, 25, 26, 27]), old_indices_discarded=array([21]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32393177, 3778.35728249]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 19, 22, 23, 24, 25, 26, 27, 28]), model=ScalarModel(intercept=0.17816465874227283, linear_terms=array([1.88966570e-04, 2.76343183e-05]), square_terms=array([[ 7.56470495e-01, -1.03969061e-04], - [-1.03969061e-04, 1.75995384e-08]]), scale=1.4756076700772405, shift=array([ 5.32393177, 3778.35728249])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=29, candidate_x=array([ 5.32336038, 3776.88167488]), index=29, x=array([ 5.32336038, 3776.88167488]), fval=0.17816777800820685, rho=0.5798905880546184, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 19, 22, 23, 24, 25, 26, 27, 28]), old_indices_discarded=array([], dtype=int32), step_length=1.4756077161109993, relative_step_length=1.0000000311964756, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32336038, 3776.88167488]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 22, 23, 24, 25, 26, 27, 28, 29]), model=ScalarModel(intercept=0.17814522233392394, linear_terms=array([1.70335715e-04, 5.34309034e-05]), square_terms=array([[ 3.02597147e+00, -4.39921704e-04], - [-4.39921704e-04, 7.75356986e-08]]), scale=2.951215340154481, shift=array([ 5.32336038, 3776.88167488])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=30, candidate_x=array([ 5.32276521, 3773.9304596 ]), index=30, x=array([ 5.32276521, 3773.9304596 ]), fval=0.1781338283759018, rho=0.6351225603827869, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 22, 23, 24, 25, 26, 27, 28, 29]), old_indices_discarded=array([18, 19, 21]), step_length=2.9512153448295146, relative_step_length=1.0000000015841046, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32276521, 3773.9304596 ]), radius=5.902430680308962, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 22, 24, 25, 26, 27, 28, 29, 30]), model=ScalarModel(intercept=0.22227385671774208, linear_terms=array([ 8.27516735e-01, -9.46109851e-05]), square_terms=array([[ 7.75302897e+00, -1.67049083e-03], - [-1.67049083e-03, 3.94188026e-07]]), scale=array([4.7268291 , 5.23089299]), shift=array([ 5.8268291, 3773.9304596])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=31, candidate_x=array([ 5.32129426, 3768.6995666 ]), index=31, x=array([ 5.32129426, 3768.6995666 ]), fval=0.17807394453160602, rho=0.7154013322715937, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 22, 24, 25, 26, 27, 28, 29, 30]), old_indices_discarded=array([17, 18, 19, 20, 21, 23]), step_length=5.230893201328401, relative_step_length=0.8862269604925865, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32129426, 3768.6995666 ]), radius=11.804861360617924, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 25, 26, 27, 28, 29, 30, 31, 32]), model=ScalarModel(intercept=0.5208780387285807, linear_terms=array([1.12839055, 0.01109011]), square_terms=array([[1.51827200e+00, 2.11161638e-02], - [2.11161638e-02, 4.80103617e-04]]), scale=array([ 7.34154012, 10.46178599]), shift=array([ 8.44154012, 3768.6995666 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=33, candidate_x=array([2.88314895e+00, 3.77916135e+03]), index=31, x=array([ 5.32129426, 3768.6995666 ]), fval=0.17807394453160602, rho=-248.64296126941807, accepted=False, new_indices=array([32]), old_indices_used=array([ 0, 25, 26, 27, 28, 29, 30, 31]), old_indices_discarded=array([16, 17, 18, 19, 20, 21, 22, 23, 24]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32129426, 3768.6995666 ]), radius=5.902430680308962, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 22, 25, 27, 28, 29, 30, 31, 33]), model=ScalarModel(intercept=0.9998902148657269, linear_terms=array([15.98904319, 0.08221525]), square_terms=array([[1.55477573e+02, 8.04599038e-01], - [8.04599038e-01, 4.16601478e-03]]), scale=array([4.72609362, 5.23089299]), shift=array([ 5.82609362, 3768.6995666 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=34, candidate_x=array([ 5.31561276, 3773.9304596 ]), index=31, x=array([ 5.32129426, 3768.6995666 ]), fval=0.17807394453160602, rho=-0.031700914237791734, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 22, 25, 27, 28, 29, 30, 31, 33]), old_indices_discarded=array([17, 18, 19, 20, 21, 23, 24, 26, 32]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32129426, 3768.6995666 ]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 25, 27, 28, 29, 30, 31, 33, 34]), model=ScalarModel(intercept=0.17875368787838072, linear_terms=array([-0.35344824, -0.00160514]), square_terms=array([[6.02790036e+01, 2.32207919e-01], - [2.32207919e-01, 8.94985816e-04]]), scale=2.951215340154481, shift=array([ 5.32129426, 3768.6995666 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=35, candidate_x=array([ 5.3272299 , 3771.65082671]), index=31, x=array([ 5.32129426, 3768.6995666 ]), fval=0.17807394453160602, rho=-0.056632647014796866, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 25, 27, 28, 29, 30, 31, 33, 34]), old_indices_discarded=array([17, 19, 22, 23, 24, 26]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.32129426, 3768.6995666 ]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([28, 30, 31, 34, 35]), model=ScalarModel(intercept=0.1780820131294612, linear_terms=array([1.86739648e-03, 1.59075457e-05]), square_terms=array([[ 7.41957927e-01, -1.22029600e-04], - [-1.22029600e-04, 2.23518326e-08]]), scale=1.4756076700772405, shift=array([ 5.32129426, 3768.6995666 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=36, candidate_x=array([ 5.31733777, 3767.22395957]), index=36, x=array([ 5.31733777, 3767.22395957]), fval=0.17803012332934734, rho=2.3606102276820975, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([28, 30, 31, 34, 35]), old_indices_discarded=array([], dtype=int32), step_length=1.4756123434937174, relative_step_length=1.0000031671131642, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.31733777, 3767.22395957]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([ 0, 17, 28, 29, 30, 31, 34, 35, 36]), model=ScalarModel(intercept=0.18731061364611515, linear_terms=array([-2.78859371, -0.01533278]), square_terms=array([[4.21276635e+02, 2.31394055e+00], - [2.31394055e+00, 1.27109474e-02]]), scale=2.951215340154481, shift=array([ 5.31733777, 3767.22395957])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=37, candidate_x=array([ 5.32066257, 3770.17523664]), index=36, x=array([ 5.31733777, 3767.22395957]), fval=0.17803012332934734, rho=-0.007038929660613454, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 17, 28, 29, 30, 31, 34, 35, 36]), old_indices_discarded=array([22, 23, 24, 25, 26, 27, 33]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.31733777, 3767.22395957]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([30, 31, 34, 35, 36, 37]), model=ScalarModel(intercept=0.17803733457425416, linear_terms=array([4.67596486e-03, 1.97718973e-05]), square_terms=array([[ 6.86260197e-01, -1.28093076e-04], - [-1.28093076e-04, 2.65774935e-08]]), scale=1.4756076700772405, shift=array([ 5.31733777, 3767.22395957])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=38, candidate_x=array([ 5.30700832, 3765.7483538 ]), index=38, x=array([ 5.30700832, 3765.7483538 ]), fval=0.17798168290601366, rho=1.3244637262751773, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([30, 31, 34, 35, 36, 37]), old_indices_discarded=array([], dtype=int32), step_length=1.4756419211239096, relative_step_length=1.000023211485928, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30700832, 3765.7483538 ]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([17, 28, 30, 31, 34, 35, 36, 37, 38]), model=ScalarModel(intercept=0.1853840653395654, linear_terms=array([-2.53255399, -0.00530967]), square_terms=array([[4.34594855e+02, 9.14605265e-01], - [9.14605265e-01, 1.92494707e-03]]), scale=2.951215340154481, shift=array([ 5.30700832, 3765.7483538 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=39, candidate_x=array([ 5.33041694, 3762.7971812 ]), index=38, x=array([ 5.30700832, 3765.7483538 ]), fval=0.17798168290601366, rho=-0.013094695227833497, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([17, 28, 30, 31, 34, 35, 36, 37, 38]), old_indices_discarded=array([ 0, 22, 25, 26, 27, 29, 33]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30700832, 3765.7483538 ]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([31, 35, 36, 37, 38, 39]), model=ScalarModel(intercept=0.17798153266437608, linear_terms=array([2.67703532e-03, 1.84532996e-05]), square_terms=array([[ 6.87387208e-01, -1.22416627e-04], - [-1.22416627e-04, 2.49928337e-08]]), scale=1.4756076700772405, shift=array([ 5.30700832, 3765.7483538 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=40, candidate_x=array([ 5.30099892, 3764.27274717]), index=38, x=array([ 5.30700832, 3765.7483538 ]), fval=0.17798168290601366, rho=-1.7785842210147218, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([31, 35, 36, 37, 38, 39]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30700832, 3765.7483538 ]), radius=0.7378038350386202, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([31, 36, 38, 39, 40]), model=ScalarModel(intercept=0.17800937260106672, linear_terms=array([5.95288503e-06, 5.30714257e-06]), square_terms=array([[ 1.72058207e-01, -2.92041969e-05], - [-2.92041969e-05, 7.60304447e-09]]), scale=0.7378038350386202, shift=array([ 5.30700832, 3765.7483538 ])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=41, candidate_x=array([ 5.30685756, 3765.01054998]), index=41, x=array([ 5.30685756, 3765.01054998]), fval=0.17796989499069643, rho=2.2212294285075673, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([31, 36, 38, 39, 40]), old_indices_discarded=array([], dtype=int32), step_length=0.7378038354799815, relative_step_length=1.0000000005982095, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30685756, 3765.01054998]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([31, 35, 36, 37, 38, 39, 40, 41]), model=ScalarModel(intercept=0.17799379519456676, linear_terms=array([9.04133766e-04, 1.68120998e-05]), square_terms=array([[ 6.87741442e-01, -1.22064373e-04], - [-1.22064373e-04, 2.53913004e-08]]), scale=1.4756076700772405, shift=array([ 5.30685756, 3765.01054998])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=42, candidate_x=array([ 5.30465582, 3763.53494268]), index=42, x=array([ 5.30465582, 3763.53494268]), fval=0.1779588833874623, rho=0.6269056309320292, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([31, 35, 36, 37, 38, 39, 40, 41]), old_indices_discarded=array([], dtype=int32), step_length=1.4756089451393082, relative_step_length=1.0000008640928708, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30465582, 3763.53494268]), radius=2.951215340154481, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([17, 31, 36, 37, 38, 39, 40, 41, 42]), model=ScalarModel(intercept=0.17947899803072848, linear_terms=array([-1.1742621 , 0.00126434]), square_terms=array([[ 4.44709273e+02, -4.57981892e-01], - [-4.57981892e-01, 4.71712559e-04]]), scale=2.951215340154481, shift=array([ 5.30465582, 3763.53494268])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=43, candidate_x=array([ 5.30940925, 3760.58372087]), index=43, x=array([ 5.30940925, 3760.58372087]), fval=0.17791553246894198, rho=0.027004451558225083, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([17, 31, 36, 37, 38, 39, 40, 41, 42]), old_indices_discarded=array([ 0, 28, 29, 30, 34, 35]), step_length=2.9512256285033613, relative_step_length=1.000003486139673, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=1.4756076700772405, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([17, 36, 38, 39, 40, 41, 42, 43]), model=ScalarModel(intercept=0.1783256875306959, linear_terms=array([-3.07287421e-01, -8.21318424e-05]), square_terms=array([[1.10555074e+02, 3.40646813e-02], - [3.40646813e-02, 1.05016887e-05]]), scale=1.4756076700772405, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=44, candidate_x=array([ 5.31396537, 3759.10811454]), index=43, x=array([ 5.30940925, 3760.58372087]), fval=0.17791553246894198, rho=-0.006804942702733265, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([17, 36, 38, 39, 40, 41, 42, 43]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.7378038350386202, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([39, 42, 43, 44]), model=ScalarModel(intercept=0.17792080695215554, linear_terms=array([2.06155976e-03, 1.11830329e-05]), square_terms=array([[ 1.70363006e-01, -3.82501682e-05], - [-3.82501682e-05, 1.24667902e-08]]), scale=0.7378038350386202, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=45, candidate_x=array([ 5.30031607, 3759.84591906]), index=43, x=array([ 5.30940925, 3760.58372087]), fval=0.17791553246894198, rho=-2.0310571357145926, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([39, 42, 43, 44]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.3689019175193101, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 44, 45]), model=ScalarModel(intercept=0.17791553246894187, linear_terms=array([-1.17918083e-03, -3.42897503e-06]), square_terms=array([[ 4.43546197e-02, -8.57949761e-06], - [-8.57949761e-06, 4.04624924e-09]]), scale=0.3689019175193101, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=46, candidate_x=array([ 5.31928716, 3760.95262089]), index=43, x=array([ 5.30940925, 3760.58372087]), fval=0.17791553246894198, rho=-2.6149368631946275, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 44, 45]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.18445095875965506, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 45, 46]), model=ScalarModel(intercept=0.17791553246894204, linear_terms=array([ 1.84501111e-03, -3.17202089e-05]), square_terms=array([[ 1.06687234e-02, -2.43582255e-06], - [-2.43582255e-06, 7.19700602e-08]]), scale=0.18445095875965506, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - 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old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.09222547937982753, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 46, 47]), model=ScalarModel(intercept=0.17791553246894176, linear_terms=array([-2.17795159e-04, 1.46733396e-05]), square_terms=array([[ 2.85029042e-03, -2.85696802e-06], - [-2.85696802e-06, 7.09340428e-09]]), scale=0.09222547937982753, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 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relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.046112739689913765, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 47, 48]), model=ScalarModel(intercept=0.17791553246894187, linear_terms=array([-3.39208594e-04, -3.23222752e-05]), square_terms=array([[7.54306993e-04, 2.98728975e-06], - [2.98728975e-06, 3.90562555e-08]]), scale=0.046112739689913765, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], 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State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=0.023056369844956882, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 48, 49]), model=ScalarModel(intercept=0.17791553246894187, linear_terms=array([6.09438346e-05, 1.13529285e-06]), square_terms=array([[ 1.66872702e-04, -1.24585747e-07], - [-1.24585747e-07, 1.17301795e-09]]), scale=0.023056369844956882, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 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radius=0.011528184922478441, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 49, 50]), model=ScalarModel(intercept=0.17791553246894215, linear_terms=array([ 0.00048585, -0.00019408]), square_terms=array([[ 5.31813583e-05, -5.75413054e-06], - [-5.75413054e-06, 2.79836435e-06]]), scale=0.011528184922478441, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - 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10000.]))), model_indices=array([43, 50, 51]), model=ScalarModel(intercept=0.17791553246894196, linear_terms=array([-4.88151251e-05, 9.00611126e-06]), square_terms=array([[ 1.09589251e-05, -5.41537073e-08], - [-5.41537073e-08, 1.87668792e-09]]), scale=0.005764092461239221, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 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model=ScalarModel(intercept=0.17791553246894182, linear_terms=array([2.12658543e-05, 1.52919564e-04]), square_terms=array([[ 2.67941071e-06, -5.49830816e-08], - [-5.49830816e-08, 3.68065340e-07]]), scale=0.0028820462306196103, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - 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5.01858339e-06, -2.73111673e-06]), square_terms=array([[ 6.71301844e-07, -6.77682479e-09], - [-6.77682479e-09, 2.94207799e-10]]), scale=0.0014410231153098052, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - 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scale=0.0003602557788274513, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, -0.03626661, -0.05256766, - -0.07828796, -0.09714704]), linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - 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x=array([ 5.30940925, 3760.58372087]), fval=0.17791553246894198, rho=-0.05588336662878231, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([43, 57, 58]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([ 5.30940925, 3760.58372087]), radius=2.2515986176715705e-05, bounds=Bounds(lower=array([1.1, 0. ]), upper=array([ 20., 10000.]))), model_indices=array([43, 58, 59]), model=ScalarModel(intercept=0.17791553246894198, linear_terms=array([ 1.75952660e-07, -7.65912652e-08]), square_terms=array([[ 1.54804745e-10, -2.72364838e-12], - [-2.72364838e-12, 1.48003207e-13]]), scale=2.2515986176715705e-05, shift=array([ 5.30940925, 3760.58372087])), vector_model=VectorModel(intercepts=array([ 0.06685046, 0.12384426, 0.11810388, 0.133374 , 0.13650311, - 0.13812835, 0.14087628, 0.11546522, 0.042301 , 0.13300251, - -0.12212488, -0.04643257, -0.03720919, 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linear_terms=array([[0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.], - [0., 0.]]), square_terms=array([[[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]], - - [[0., 0.], - [0., 0.]]]), scale=377.75556353977356, shift=array([ 5.22187972, 3777.5556354 ])), candidate_index=61, candidate_x=array([ 5.30942051, 3760.58372084]), index=61, x=array([ 5.30942051, 3760.58372084]), fval=0.17791548552127476, rho=0.9998013126948817, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([43, 59, 60]), old_indices_discarded=array([], dtype=int32), step_length=1.1257993087530534e-05, relative_step_length=0.9999999999265128, n_evals_per_point=1, n_evals_acceptance=1)], 'message': 'Absolute criterion change smaller than tolerance.', 'tranquilo_history': History for least_squares function with 62 entries., 'history': {'params': [{'CRRA': 5.221879724992187, 'BeqFac': 3777.5556353977354}, {'CRRA': 1.1, 'BeqFac': 3476.9035708167335}, {'CRRA': 20.0, 'BeqFac': 3688.8944111418195}, {'CRRA': 1.1, 'BeqFac': 4084.9216049500956}, {'CRRA': 19.360304400268685, 'BeqFac': 4112.332787046263}, {'CRRA': 20.0, 'BeqFac': 3463.4160733070307}, {'CRRA': 19.863685373375603, 'BeqFac': 3442.778483749208}, {'CRRA': 1.1, 'BeqFac': 3921.209349974723}, {'CRRA': 20.0, 'BeqFac': 3917.345783490104}, {'CRRA': 20.0, 'BeqFac': 4104.193678537616}, {'CRRA': 1.6231245796393248, 'BeqFac': 4112.332787046263}, {'CRRA': 7.312867713980317, 'BeqFac': 3442.778483749208}, {'CRRA': 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144.70419020000008, 144.89917369999966, 145.09326529999998, 145.2772976999995, 145.4697629000002, 145.6664321999997, 146.85609860000022], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 52, 53, 54, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 90, 91, 92, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 105, 106]}" +convergence_report, +multistart_info,"{'start_parameters': [{'CRRA': 9.36875, 'BeqMPC': 0.5625, 'BeqInt': 1.875}, {'CRRA': 6.346585391303142, 'BeqMPC': 0.4568357851782139, 'BeqInt': 1.437245319506724}, {'CRRA': 5.55617212171266, 'BeqMPC': 0.12158579427955185, 'BeqInt': 1.8998029114108725}], 'local_optima': [Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Maximum number of criterion evaluations reached. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 0.000395 0.01551 +relative_params_change 0.01171 0.08418 +absolute_criterion_change 3.95e-05 0.001551 +absolute_params_change 0.01469 0.03961 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Absolute criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 1.063e-07* 9.558e-05 +relative_params_change 0.0007721 0.04758 +absolute_criterion_change 6.816e-08* 6.129e-05 +absolute_params_change 0.0008454 0.1572 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.), Minimize with 3 free parameters terminated. + +The tranquilo_ls algorithm reported: Relative criterion change smaller than tolerance. + +Independent of the convergence criteria used by tranquilo_ls, the strength of convergence can be assessed by the following criteria: + + one_step five_steps +relative_criterion_change 0*** 0.475 +relative_params_change 0*** 0.6478 +absolute_criterion_change 0*** 0.0475 +absolute_params_change 0*** 0.2909 + +(***: change <= 1e-10, **: change <= 1e-8, *: change <= 1e-5. Change refers to a change between accepted steps. The first column only considers the last step. The second column considers the last five steps.)], 'exploration_sample': [{'CRRA': 9.368749999999999, 'BeqMPC': 0.5625, 'BeqInt': 1.875}, {'CRRA': 8.778125, 'BeqMPC': 0.90625, 'BeqInt': 2.8125}, {'CRRA': 9.959375, 'BeqMPC': 0.09375, 'BeqInt': 8.4375}, {'CRRA': 8.1875, 'BeqMPC': 0.375, 'BeqInt': 6.25}, {'CRRA': 4.972059127341761, 'BeqMPC': 0.1, 'BeqInt': 1.0}, {'CRRA': 10.549999999999999, 'BeqMPC': 0.5, 'BeqInt': 5.0}, {'CRRA': 7.596874999999999, 'BeqMPC': 0.71875, 'BeqInt': 7.1875}, {'CRRA': 7.00625, 'BeqMPC': 0.1875, 'BeqInt': 3.125}, {'CRRA': 11.73125, 'BeqMPC': 0.4375, 'BeqInt': 0.625}, {'CRRA': 6.415625, 'BeqMPC': 0.28125, 'BeqInt': 1.5625}, {'CRRA': 12.321874999999999, 'BeqMPC': 0.96875, 'BeqInt': 9.6875}, {'CRRA': 12.9125, 'BeqMPC': 0.125, 'BeqInt': 8.75}, {'CRRA': 5.824999999999999, 'BeqMPC': 0.75, 'BeqInt': 7.5}, {'CRRA': 13.503124999999999, 'BeqMPC': 0.65625, 'BeqInt': 0.3125}, {'CRRA': 5.234375, 'BeqMPC': 0.84375, 'BeqInt': 0.9375}, {'CRRA': 14.093749999999998, 'BeqMPC': 0.8125, 'BeqInt': 4.375}, {'CRRA': 14.684375, 'BeqMPC': 0.34375, 'BeqInt': 5.9375}, {'CRRA': 4.64375, 'BeqMPC': 0.3125, 'BeqInt': 9.375}, {'CRRA': 15.274999999999999, 'BeqMPC': 0.25, 'BeqInt': 2.5}, {'CRRA': 4.053125, 'BeqMPC': 0.15625, 'BeqInt': 5.3125}, {'CRRA': 15.865624999999998, 'BeqMPC': 0.78125, 'BeqInt': 6.5625}, {'CRRA': 3.4625, 'BeqMPC': 0.625, 'BeqInt': 3.75}, {'CRRA': 16.45625, 'BeqMPC': 0.6875, 'BeqInt': 8.125}, {'CRRA': 17.046875, 'BeqMPC': 0.21875, 'BeqInt': 2.1875}, {'CRRA': 2.871875, 'BeqMPC': 0.46875, 'BeqInt': 4.6875}, {'CRRA': 2.28125, 'BeqMPC': 0.9375, 'BeqInt': 5.625}, {'CRRA': 17.6375, 'BeqMPC': 0.875, 'BeqInt': 1.25}, {'CRRA': 18.228125, 'BeqMPC': 0.40625, 'BeqInt': 7.8125}, {'CRRA': 18.81875, 'BeqMPC': 0.0625, 'BeqInt': 6.875}, {'CRRA': 19.409375, 'BeqMPC': 0.59375, 'BeqInt': 3.4375}], 'exploration_results': array([0.64209144, 0.6484228 , 0.66164058, 0.68191617, 0.68336853, + 0.70447659, 0.74714836, 0.84712201, 0.86239976, 0.97173338, + 0.97951322, 1.12431839, 1.18220474, 1.30410663, 1.42368725, + 1.52011014, 1.78024917, 1.78133902, 2.09714539, 2.24371068, + 2.48116605, 2.89497477, 2.94379242, 3.49762974, 3.76794921, + 4.13898884, 4.16035282, 4.94978648, 5.89491246, 7.00125067])}" +algorithm_output,"{'states': [State(trustregion=Region(center=array([9.36875, 0.5625 , 1.875 ]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=[0], model=ScalarModel(intercept=0.6420914370117922, linear_terms=array([0., 0., 0.]), square_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 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scale=array([0.75511748, 0.5 , 0.75511748]), shift=array([9.36875, 0.5 , 1.875 ])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 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accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([34, 37, 38, 39, 40, 42, 44, 46, 48, 49, 53, 54]), old_indices_discarded=array([13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, + 30, 31, 32, 33, 35, 36, 41, 43, 45, 47, 50, 51, 52]), step_length=0.13484627680599387, relative_step_length=1.1514558659884733, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.4700687 , 0.07704412, 1.05461284]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([16, 36, 37, 38, 39, 42, 45, 52, 53, 54, 55, 56]), model=ScalarModel(intercept=0.38995533080033784, linear_terms=array([ 0.02487958, 0.01566531, -0.13836585]), square_terms=array([[ 0.00298668, -0.00215971, 0.0061892 ], + [-0.00215971, 0.00383723, -0.01837575], + [ 0.0061892 , -0.01837575, 0.11182909]]), scale=array([0.18877937, 0.13291174, 0.18877937]), shift=array([8.4700687 , 0.13291174, 1.05461284])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 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51]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.4700687 , 0.07704412, 1.05461284]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([16, 36, 37, 38, 39, 42, 45, 52, 53, 54, 55, 58]), model=ScalarModel(intercept=0.4089348687323048, linear_terms=array([-0.09884472, -0.02308588, 0.01152218]), square_terms=array([[ 0.06538899, 0.00989313, -0.0063529 ], + [ 0.00989313, 0.00201052, -0.00112768], + [-0.0063529 , -0.00112768, 0.0007113 ]]), scale=array([0.09438969, 0.0857169 , 0.09438969]), shift=array([8.4700687 , 0.0857169 , 1.05461284])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], 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vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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State(trustregion=Region(center=array([8.50061989, 0.06599916, 1.04534781]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([16, 36, 37, 38, 39, 53, 54, 55, 58, 59, 60, 61]), model=ScalarModel(intercept=0.37902431239998113, linear_terms=array([-0.05086223, 0.03135798, -0.0035555 ]), square_terms=array([[ 0.02812105, -0.0160428 , 0.00177569], + [-0.0160428 , 0.00922348, -0.00105995], + [ 0.00177569, -0.00105995, 0.00020646]]), scale=0.05855468750000001, shift=array([8.50061989, 0.06599916, 1.04534781])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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index=136, x=array([7.8329471 , 0.07174369, 0.98403066]), fval=0.23285620028825244, rho=1.0651203539182108, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([118, 122, 123, 124, 125, 126, 128, 130, 132, 133, 134, 135]), old_indices_discarded=array([116, 120, 121, 127, 129, 131]), step_length=0.014639099964750222, relative_step_length=1.0000292437561191, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.8329471 , 0.07174369, 0.98403066]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 121, 122, 123, 124, 125, 126, 130, 132, 133, 134, 136]), model=ScalarModel(intercept=0.23273012165796225, linear_terms=array([ 0.00310676, -0.00634259, -0.0013698 ]), square_terms=array([[ 5.23491196e-05, -2.26959544e-03, -3.48695877e-04], + [-2.26959544e-03, 4.00964639e-01, 4.42415187e-02], + [-3.48695877e-04, 4.42415187e-02, 5.46492304e-03]]), 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129, 131, 135]), step_length=0.030923890015162492, relative_step_length=1.0562396055879382, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.80239335, 0.07150984, 0.9887952 ]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 120, 121, 122, 123, 124, 125, 126, 130, 133, 136, 137]), model=ScalarModel(intercept=0.22930593014265016, linear_terms=array([ 0.00623307, 0.00139973, -0.00054408]), square_terms=array([[ 2.58450977e-04, -9.77422300e-03, -1.16478572e-03], + [-9.77422300e-03, 1.03381319e+00, 8.30798210e-02], + [-1.16478572e-03, 8.30798210e-02, 8.90069505e-03]]), scale=0.05855468750000001, shift=array([7.80239335, 0.07150984, 0.9887952 ])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, 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State(trustregion=Region(center=array([7.74258612, 0.07071819, 0.99068002]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([118, 119, 120, 121, 122, 124, 125, 126, 133, 136, 137, 138]), model=ScalarModel(intercept=0.24681872953291428, linear_terms=array([ 1.45849252e-05, 3.18121775e-01, -3.07412690e-02]), square_terms=array([[ 0.00266805, -0.06851178, 0.00680684], + [-0.06851178, 2.11165199, -0.23982561], + [ 0.00680684, -0.23982561, 0.03449164]]), scale=array([0.09438969, 0.08255394, 0.09438969]), shift=array([7.74258612, 0.08255394, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 123, 124, 128, 129, 135, 136, 137, 138]), model=ScalarModel(intercept=0.22293033517778638, linear_terms=array([0.0061061 , 0.01130142, 0.00204549]), square_terms=array([[ 1.03886328e-03, -3.02439572e-02, 2.81425240e-03], + [-3.02439572e-02, 1.05383469e+00, -1.11131149e-01], + [ 2.81425240e-03, -1.11131149e-01, 1.45525495e-02]]), scale=0.05855468750000001, shift=array([7.74258612, 0.07071819, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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106, 107, 108, 109, + 110, 111, 112, 113, 114, 115, 116, 118, 121, 122, 123, 124, 125, + 126, 127, 128, 129, 130, 131, 132, 133, 134, 135]), step_length=0.38200212553289437, relative_step_length=0.815481522151609, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 114, 117, 119, 132, 137, 139, 140, 143, 144, 145]), model=ScalarModel(intercept=0.5952256268553571, linear_terms=array([0.11410682, 1.24929538, 0.22345221]), square_terms=array([[ 0.02780675, 0.0636425 , -0.05552575], + [ 0.0636425 , 1.7674034 , 0.37131557], + [-0.05552575, 0.37131557, 0.66954534]]), scale=array([0.75511748, 0.41693639, 0.75511748]), shift=array([7.00227691, 0.41693639, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, + 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, + 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 118, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, + 136, 138, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]), model=ScalarModel(intercept=3.2750122741025782, linear_terms=array([ 0.02448497, 10.17783148, 2.16814968]), square_terms=array([[ 1.06554000e-02, -1.22079981e-02, -3.67375290e-02], + [-1.22079981e-02, 1.65708771e+01, 3.52003515e+00], + [-3.67375290e-02, 3.52003515e+00, 9.42927661e-01]]), scale=array([0.37755874, 0.22815702, 0.37755874]), shift=array([7.00227691, 0.22815702, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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13, 14, 15, 16, 17, 18, 19, 20, 21, + 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, + 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, + 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, + 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, + 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, + 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, + 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, + 128, 129, 130, 131, 132, 133, 134, 135, 136]), step_length=0.3859905081480779, relative_step_length=0.8239957478811535, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.62471817, 0.09785853, 0.78588371]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), model=ScalarModel(intercept=17.204505899465673, linear_terms=array([ 0.15483071, 43.69169803, 7.03043101]), square_terms=array([[ 4.40904386e-02, 1.23102882e-01, -1.27049447e-01], + [ 1.23102882e-01, 5.58687935e+01, 9.00769457e+00], + [-1.27049447e-01, 9.00769457e+00, 2.29138016e+00]]), scale=array([0.75511748, 0.42648801, 0.75511748]), shift=array([6.62471817, 0.42648801, 0.78588371])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + 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fval=0.08039107118280965, rho=1.1103743902331384, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, + 132, 133, 134, 135, 136, 137]), step_length=0.7645676959215466, relative_step_length=0.816082930936941, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.86960069, 0.10479103, 0.66624553]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), model=ScalarModel(intercept=27.08757097179497, linear_terms=array([-0.34462358, 61.42128644, 13.05324413]), square_terms=array([[ 0.14371819, -0.33025874, -0.40107957], + [-0.33025874, 70.1263393 , 14.24446062], + [-0.40107957, 14.24446062, 4.36264181]]), scale=array([1.51023496, 0.5 , 1.08824025]), shift=array([5.86960069, 0.5 , 1.08824025])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=149, candidate_x=array([4.35936573, 0.12268659, 0.41347298]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=0.5649533931433475, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, + 131, 132, 133, 134, 135, 136, 137]), step_length=1.5313470728428766, relative_step_length=0.817263281036892, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=3.7475000000000005, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), model=ScalarModel(intercept=8.518438145662957, linear_terms=array([-5.710938 , 5.29331738, 15.83871196]), square_terms=array([[ 2.27307925, -1.57230677, -5.59695524], + [-1.57230677, 1.94131818, 4.64526088], + [-5.59695524, 4.64526088, 15.10684279]]), scale=array([3.02046992, 0.5 , 1.71697145]), shift=array([4.35936573, 0.5 , 1.71697145])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + 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96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, + 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, + 135, 136, 137, 138, 139, 140, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150]), model=ScalarModel(intercept=20.176863822850184, linear_terms=array([-7.75202783, 27.72899022, 34.94959428]), square_terms=array([[ 1.91497452, -4.69825709, -7.7412449 ], + [-4.69825709, 20.05782794, 22.48109099], + [-7.7412449 , 22.48109099, 32.87793932]]), scale=array([1.51023496, 0.5 , 0.96185397]), shift=array([4.35936573, 0.5 , 0.96185397])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, + 130, 131, 132, 133, 134, 135, 136, 137, 138]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), model=ScalarModel(intercept=26.573430124431628, linear_terms=array([ 1.84035838, 75.84856055, 3.10106805]), square_terms=array([[ 1.11405179e-01, 2.63586115e+00, -1.20229262e-02], + [ 2.63586115e+00, 1.08415824e+02, 4.43466602e+00], + [-1.20229262e-02, 4.43466602e+00, 5.00329568e-01]]), scale=array([0.75511748, 0.43890204, 0.58429523]), shift=array([4.35936573, 0.43890204, 0.58429523])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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151]), old_indices_discarded=array([ 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, + 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, + 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, + 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, + 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, + 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, + 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, + 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, + 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([146, 147, 148, 149, 150, 151, 152]), model=ScalarModel(intercept=4.216755970553032, linear_terms=array([-0.04018962, 17.62984736, 2.70493168]), square_terms=array([[ 1.07864603e-02, -8.89732841e-02, -4.70880145e-02], + [-8.89732841e-02, 3.74688701e+01, 5.77267641e+00], + [-4.70880145e-02, 5.77267641e+00, 9.99952317e-01]]), scale=array([0.37755874, 0.25012267, 0.37755874]), shift=array([4.35936573, 0.25012267, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 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0.41347298]), fval=0.0553792803624863, rho=-0.3323781078100622, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([146, 147, 148, 149, 150, 151, 152]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 150, 151, 152, 153]), model=ScalarModel(intercept=0.5414960094081812, linear_terms=array([0.07256309, 5.3047706 , 0.38990336]), square_terms=array([[ 2.81144197e-02, 5.09549719e-01, -2.11153453e-02], + [ 5.09549719e-01, 2.84641428e+01, 1.77855861e+00], + [-2.11153453e-02, 1.77855861e+00, 2.60521305e-01]]), scale=array([0.18877937, 0.15573298, 0.18877937]), shift=array([4.35936573, 0.15573298, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 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radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166]), model=ScalarModel(intercept=1.1679478057033899, linear_terms=array([ 0.36136865, -7.44578414, -1.42989868]), square_terms=array([[ 0.05897121, -1.20626897, -0.23260914], + [-1.20626897, 24.82447042, 4.77121331], + [-0.23260914, 4.77121331, 0.92085919]]), scale=0.11710937500000002, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=81, candidate_x=array([7.65620612, 0.44125805, 1.3035395 ]), index=80, x=array([8.03376486, 0.08760404, 0.92598076]), fval=0.2646416385863793, rho=-9.772305089095301, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([16, 36, 57, 58, 67, 73, 74, 75, 77, 78, 79, 80]), old_indices_discarded=array([ 0, 1, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 17, 18, 19, 20, 21, + 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, + 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, + 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 76]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([8.03376486, 0.08760404, 0.92598076]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([16, 57, 58, 72, 73, 74, 75, 76, 77, 78, 79, 80]), 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accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 91, 92, 96, 97, 98, 99, 103, 104, 107, 111, 112, 113]), old_indices_discarded=array([ 80, 83, 84, 85, 86, 87, 88, 89, 90, 93, 94, 95, 100, + 101, 102, 105, 106, 108, 109, 110, 114]), step_length=0.029294238404060747, relative_step_length=1.0005770555623148, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.96258088, 0.0778777 , 0.95682839]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 91, 92, 93, 96, 97, 98, 104, 107, 112, 113, 114, 115]), model=ScalarModel(intercept=0.2500485516221731, linear_terms=array([-0.02963258, -0.12378464, -0.11123906]), square_terms=array([[0.3208566 , 1.11800004, 0.95954936], + [1.11800004, 3.89860552, 3.3472657 ], + [0.95954936, 3.3472657 , 2.87457318]]), scale=0.05855468750000001, shift=array([7.96258088, 0.0778777 , 0.95682839])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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step_length=0.05882232337249272, relative_step_length=1.0045706993567802, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.91255359, 0.06872322, 0.98638396]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), model=ScalarModel(intercept=0.24256549796634347, linear_terms=array([ 0.01611498, -0.02082813, 0.00237997]), square_terms=array([[ 0.04596951, -0.25881578, 0.01435203], + [-0.25881578, 1.50491523, -0.0866643 ], + [ 0.01435203, -0.0866643 , 0.00563673]]), scale=array([0.09438969, 0.08155645, 0.09438969]), shift=array([7.91255359, 0.08155645, 0.98638396])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), model=ScalarModel(intercept=0.2644739451869318, linear_terms=array([ 0.03526114, -0.18497117, 0.00993612]), square_terms=array([[ 0.01769066, -0.11527396, 0.00552316], + [-0.11527396, 0.77574452, -0.03859941], + [ 0.00552316, -0.03859941, 0.00216921]]), scale=0.05855468750000001, shift=array([7.91255359, 0.06872322, 0.98638396])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=118, candidate_x=array([7.854204 , 0.07359509, 0.97888241]), index=118, x=array([7.854204 , 0.07359509, 0.97888241]), fval=0.23543433540162922, rho=0.30937704435683216, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 83, 91, 92, 93, 96, 97, 98, 112, 113, 114, 115, 116]), old_indices_discarded=array([ 80, 82, 84, 85, 86, 87, 88, 89, 90, 94, 95, 99, 100, + 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 117]), step_length=0.05903120639298343, relative_step_length=1.0081380144498837, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 93, 96, 97, 113, 114, 115, 116, 117, 118]), model=ScalarModel(intercept=0.2451050908063041, linear_terms=array([-0.00801689, 0.17264046, 0.04599671]), square_terms=array([[ 0.0189438 , -0.1701301 , -0.04876625], + [-0.1701301 , 1.55280868, 0.44178379], + [-0.04876625, 0.44178379, 0.13119651]]), scale=array([0.09438969, 0.08399239, 0.09438969]), shift=array([7.854204 , 0.08399239, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + 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dtype=int32), old_indices_used=array([ 83, 91, 92, 93, 96, 97, 113, 114, 115, 116, 117, 118]), old_indices_discarded=array([ 16, 57, 58, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, + 82, 84, 85, 86, 87, 88, 89, 90, 94, 95, 98, 99, 100, + 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 92, 96, 97, 113, 114, 115, 116, 117, 118, 119]), model=ScalarModel(intercept=0.24315406592138003, linear_terms=array([-0.00650714, -0.05184298, -0.01332754]), square_terms=array([[0.0108646 , 0.04867403, 0.01126076], + [0.04867403, 0.21952954, 0.05095656], + [0.01126076, 0.05095656, 0.01462715]]), scale=0.05855468750000001, shift=array([7.854204 , 0.07359509, 0.97888241])), 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112]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.854204 , 0.07359509, 0.97888241]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 83, 91, 96, 113, 114, 115, 116, 117, 118, 119, 120]), model=ScalarModel(intercept=0.23702920253715587, linear_terms=array([ 0.00152101, -0.01131583, -0.00401794]), square_terms=array([[0.00089141, 0.00738089, 0.00210547], + [0.00738089, 0.06262241, 0.01818261], + [0.00210547, 0.01818261, 0.00614712]]), scale=0.029277343750000004, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 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square_terms=array([[ 0.000468 , -0.00333611, -0.00155569], + [-0.00333611, 0.02485337, 0.01120448], + [-0.00155569, 0.01120448, 0.00526796]]), scale=0.014638671875000002, shift=array([7.854204 , 0.07359509, 0.97888241])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 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0.99068002]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 123, 124, 128, 129, 135, 136, 137, 138]), model=ScalarModel(intercept=0.22293033517778638, linear_terms=array([0.0061061 , 0.01130142, 0.00204549]), square_terms=array([[ 1.03886328e-03, -3.02439572e-02, 2.81425240e-03], + [-3.02439572e-02, 1.05383469e+00, -1.11131149e-01], + [ 2.81425240e-03, -1.11131149e-01, 1.45525495e-02]]), scale=0.05855468750000001, shift=array([7.74258612, 0.07071819, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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0.00297597, -0.0206017 , 0.00113047]), square_terms=array([[ 4.69143447e-05, 1.74987197e-03, -8.34496228e-05], + [ 1.74987197e-03, 2.91051126e-01, 6.40995692e-04], + [-8.34496228e-05, 6.40995692e-04, 8.06830930e-04]]), scale=0.029277343750000004, shift=array([7.74258612, 0.07071819, 0.99068002])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + 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rho=0.58147486051046, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 121, 122, 123, 124, 129, 135, 136, 137, 138, 140]), old_indices_discarded=array([117, 118, 125, 126, 127, 128, 130, 131, 132, 133, 134, 139]), step_length=0.029957997559679685, relative_step_length=1.023248482358639, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.71417813, 0.0729572 , 0.98143587]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 121, 122, 129, 135, 136, 137, 138, 139, 140, 141]), model=ScalarModel(intercept=0.22040402238892187, linear_terms=array([ 0.00574929, -0.03191014, -0.00332637]), square_terms=array([[3.27243290e-04, 1.60670207e-02, 1.81545554e-03], + [1.60670207e-02, 1.43659315e+00, 1.99099486e-01], + [1.81545554e-03, 1.99099486e-01, 3.13064314e-02]]), scale=0.05855468750000001, shift=array([7.71417813, 0.0729572 , 0.98143587])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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n_evals_acceptance=1), State(trustregion=Region(center=array([7.56861502, 0.07447888, 0.96215226]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([117, 119, 120, 121, 136, 137, 138, 139, 140, 141, 142, 143]), model=ScalarModel(intercept=1.0099972257239318, linear_terms=array([-0.05569899, 3.65539391, 0.79427092]), square_terms=array([[ 5.28878065e-03, -1.70456160e-01, -4.17705301e-02], + [-1.70456160e-01, 8.29156035e+00, 1.79488751e+00], + [-4.17705301e-02, 1.79488751e+00, 4.25357499e-01]]), scale=array([0.18877937, 0.13162913, 0.18877937]), shift=array([7.56861502, 0.13162913, 0.96215226])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 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135]), step_length=0.1930429817888977, relative_step_length=0.8241995219806172, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.37983565, 0.07697185, 0.92188159]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([117, 119, 120, 136, 137, 138, 139, 140, 141, 142, 143, 144]), model=ScalarModel(intercept=5.5636505351248084, linear_terms=array([-0.41318823, 16.19145847, 4.07555524]), square_terms=array([[ 0.02642275, -0.67758193, -0.19146099], + [-0.67758193, 24.37141767, 6.13250511], + [-0.19146099, 6.13250511, 1.68817298]]), scale=array([0.37755874, 0.2272653 , 0.37755874]), shift=array([7.37983565, 0.2272653 , 0.92188159])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, 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0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + 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50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, + 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, + 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 118, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 135, + 136, 138, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([7.00227691, 0.0787553 , 0.86381404]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146]), model=ScalarModel(intercept=3.2750122741025782, linear_terms=array([ 0.02448497, 10.17783148, 2.16814968]), square_terms=array([[ 1.06554000e-02, -1.22079981e-02, -3.67375290e-02], + [-1.22079981e-02, 1.65708771e+01, 3.52003515e+00], + [-3.67375290e-02, 3.52003515e+00, 9.42927661e-01]]), scale=array([0.37755874, 0.22815702, 0.37755874]), shift=array([7.00227691, 0.22815702, 0.86381404])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 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old_indices_discarded=array([ 1, 7, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, + 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, + 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, + 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, + 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, + 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, + 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, + 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, + 128, 129, 130, 131, 132, 133, 134, 135, 136]), step_length=0.3859905081480779, relative_step_length=0.8239957478811535, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.62471817, 0.09785853, 0.78588371]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), model=ScalarModel(intercept=17.204505899465673, linear_terms=array([ 0.15483071, 43.69169803, 7.03043101]), square_terms=array([[ 4.40904386e-02, 1.23102882e-01, -1.27049447e-01], + [ 1.23102882e-01, 5.58687935e+01, 9.00769457e+00], + [-1.27049447e-01, 9.00769457e+00, 2.29138016e+00]]), scale=array([0.75511748, 0.42648801, 0.75511748]), shift=array([6.62471817, 0.42648801, 0.78588371])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + 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index=148, x=array([5.86960069, 0.10479103, 0.66624553]), fval=0.08039107118280965, rho=1.1103743902331384, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 120, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, + 132, 133, 134, 135, 136, 137]), step_length=0.7645676959215466, relative_step_length=0.816082930936941, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.86960069, 0.10479103, 0.66624553]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), model=ScalarModel(intercept=27.08757097179497, linear_terms=array([-0.34462358, 61.42128644, 13.05324413]), square_terms=array([[ 0.14371819, -0.33025874, -0.40107957], + [-0.33025874, 70.1263393 , 14.24446062], + [-0.40107957, 14.24446062, 4.36264181]]), scale=array([1.51023496, 0.5 , 1.08824025]), shift=array([5.86960069, 0.5 , 1.08824025])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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[0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=149, candidate_x=array([4.35936573, 0.12268659, 0.41347298]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=0.5649533931433475, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([119, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, + 131, 132, 133, 134, 135, 136, 137]), step_length=1.5313470728428766, relative_step_length=0.817263281036892, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=3.7475000000000005, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), model=ScalarModel(intercept=8.518438145662957, linear_terms=array([-5.710938 , 5.29331738, 15.83871196]), square_terms=array([[ 2.27307925, -1.57230677, -5.59695524], + [-1.57230677, 1.94131818, 4.64526088], + [-5.59695524, 4.64526088, 15.10684279]]), scale=array([3.02046992, 0.5 , 1.71697145]), shift=array([4.35936573, 0.5 , 1.71697145])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=150, candidate_x=array([3.69246538, 0.11966062, 0.17797387]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-16.52544634674914, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 81, 82, 83, 86, 117, 143, 144, 145, 146, 147, 148, 149]), old_indices_discarded=array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, + 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, + 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, + 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, + 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, + 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, + 135, 136, 137, 138, 139, 140, 141, 142]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=1.8737500000000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150]), model=ScalarModel(intercept=20.176863822850184, linear_terms=array([-7.75202783, 27.72899022, 34.94959428]), square_terms=array([[ 1.91497452, -4.69825709, -7.7412449 ], + [-4.69825709, 20.05782794, 22.48109099], + [-7.7412449 , 22.48109099, 32.87793932]]), scale=array([1.51023496, 0.5 , 0.96185397]), shift=array([4.35936573, 0.5 , 0.96185397])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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31, 32, 33, 34, 35, 36, 37, 38, + 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, + 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, + 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, + 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, + 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, + 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, + 130, 131, 132, 133, 134, 135, 136, 137, 138]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.9368750000000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), model=ScalarModel(intercept=26.573430124431628, linear_terms=array([ 1.84035838, 75.84856055, 3.10106805]), square_terms=array([[ 1.11405179e-01, 2.63586115e+00, -1.20229262e-02], + [ 2.63586115e+00, 1.08415824e+02, 4.43466602e+00], + [-1.20229262e-02, 4.43466602e+00, 5.00329568e-01]]), scale=array([0.75511748, 0.43890204, 0.58429523]), shift=array([4.35936573, 0.43890204, 0.58429523])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 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old_indices_used=array([139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151]), old_indices_discarded=array([ 7, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, + 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, + 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, + 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, + 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, + 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, + 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, + 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, + 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.46843750000000006, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([146, 147, 148, 149, 150, 151, 152]), model=ScalarModel(intercept=4.216755970553032, linear_terms=array([-0.04018962, 17.62984736, 2.70493168]), square_terms=array([[ 1.07864603e-02, -8.89732841e-02, -4.70880145e-02], + [-8.89732841e-02, 3.74688701e+01, 5.77267641e+00], + [-4.70880145e-02, 5.77267641e+00, 9.99952317e-01]]), scale=array([0.37755874, 0.25012267, 0.37755874]), shift=array([4.35936573, 0.25012267, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]]), scale=0.9368750000000001, shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=153, candidate_x=array([4.73692447, 0.11748387, 0.56577901]), index=149, x=array([4.35936573, 0.12268659, 0.41347298]), fval=0.0553792803624863, rho=-0.3323781078100622, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([146, 147, 148, 149, 150, 151, 152]), old_indices_discarded=array([], dtype=int32), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.35936573, 0.12268659, 0.41347298]), radius=0.23421875000000003, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 150, 151, 152, 153]), model=ScalarModel(intercept=0.5414960094081812, linear_terms=array([0.07256309, 5.3047706 , 0.38990336]), square_terms=array([[ 2.81144197e-02, 5.09549719e-01, -2.11153453e-02], + [ 5.09549719e-01, 2.84641428e+01, 1.77855861e+00], + [-2.11153453e-02, 1.77855861e+00, 2.60521305e-01]]), scale=array([0.18877937, 0.15573298, 0.18877937]), shift=array([4.35936573, 0.15573298, 0.41347298])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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State(trustregion=Region(center=array([4.5481451 , 0.12427896, 0.40654176]), radius=0.11710937500000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166]), model=ScalarModel(intercept=1.1679478057033899, linear_terms=array([ 0.36136865, -7.44578414, -1.42989868]), square_terms=array([[ 0.05897121, -1.20626897, -0.23260914], + [-1.20626897, 24.82447042, 4.77121331], + [-0.23260914, 4.77121331, 0.92085919]]), scale=0.11710937500000002, shift=array([4.5481451 , 0.12427896, 0.40654176])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 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upper=array([20., 1., 10.]))), model_indices=array([154, 170, 171, 174, 176, 177, 178, 179, 180, 182, 183, 184]), model=ScalarModel(intercept=0.04585836711401811, linear_terms=array([-6.67537194e-05, 1.43891235e-03, 3.06344221e-04]), square_terms=array([[ 2.36299654e-04, -7.77863306e-03, -1.47569340e-03], + [-7.77863306e-03, 3.07535922e-01, 5.46611642e-02], + [-1.47569340e-03, 5.46611642e-02, 9.97399430e-03]]), scale=0.029277343750000004, shift=array([4.55128123, 0.12775829, 0.43055863])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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shift=array([9.36875, 0.5625 , 1.875 ])), candidate_index=185, candidate_x=array([4.58047657, 0.12752792, 0.43523875]), index=185, x=array([4.58047657, 0.12752792, 0.43523875]), fval=0.045821063395050134, rho=2.507381013649262, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([154, 170, 171, 174, 176, 177, 178, 179, 180, 182, 183, 184]), old_indices_discarded=array([155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, + 168, 169, 172, 173, 175, 181]), step_length=0.029568978579196867, relative_step_length=1.0099611095763037, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.58047657, 0.12752792, 0.43523875]), radius=0.05855468750000001, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([168, 169, 171, 173, 175, 176, 177, 178, 180, 183, 184, 185]), model=ScalarModel(intercept=0.045998806089472995, linear_terms=array([ 0.00114009, -0.01284242, -0.00326927]), 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old_indices_used=array([168, 169, 171, 173, 175, 176, 177, 178, 180, 183, 184, 185]), old_indices_discarded=array([149, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, + 165, 166, 167, 170, 172, 174, 179, 181, 182]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.58047657, 0.12752792, 0.43523875]), radius=0.029277343750000004, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 170, 171, 173, 174, 177, 178, 180, 182, 183, 184, 185]), model=ScalarModel(intercept=0.04585647894658236, linear_terms=array([-2.48234494e-05, 4.43832417e-03, 6.91540580e-04]), square_terms=array([[ 6.20511531e-05, -1.38920411e-03, -3.48872642e-04], + [-1.38920411e-03, 3.13310468e-01, 5.07347828e-02], + [-3.48872642e-04, 5.07347828e-02, 8.51171146e-03]]), scale=0.029277343750000004, shift=array([4.58047657, 0.12752792, 0.43523875])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 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relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([4.58047657, 0.12752792, 0.43523875]), radius=0.014638671875000002, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([154, 170, 171, 173, 174, 178, 180, 182, 183, 184, 185, 187]), model=ScalarModel(intercept=0.04588754926571219, linear_terms=array([1.08667096e-06, 2.15501852e-03, 3.39754588e-04]), square_terms=array([[ 1.57979629e-05, -2.58772485e-04, -7.41954285e-05], + [-2.58772485e-04, 7.88777101e-02, 1.26110951e-02], + [-7.41954285e-05, 1.26110951e-02, 2.09266978e-03]]), scale=0.014638671875000002, shift=array([4.58047657, 0.12752792, 0.43523875])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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174, 177, 178, 180, 182, 183, 184, 185, 188]), model=ScalarModel(intercept=0.04582231431926367, linear_terms=array([-2.72462457e-05, 7.68204684e-05, 1.85309203e-06]), square_terms=array([[ 1.07619951e-04, -4.31398209e-03, -8.69861670e-04], + [-4.31398209e-03, 3.10960578e-01, 5.50170257e-02], + [-8.69861670e-04, 5.50170257e-02, 9.99613021e-03]]), scale=0.029277343750000004, shift=array([4.56657486, 0.12784175, 0.43048902])), vector_model=VectorModel(intercepts=array([ 0.04974925, 0.12690849, 0.15323856, 0.19937163, 0.22433891, + 0.23994768, 0.24230094, 0.07800769, -0.06875759, -0.05565817, + -0.39786451, -0.40697338, -0.1293169 , -0.10261395, -0.09327969, + -0.09658987, -0.10271159]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), 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bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13]), model=ScalarModel(intercept=0.30994858856473223, linear_terms=array([0.10196426, 0.55326862, 0.53181479]), square_terms=array([[0.03150084, 0.13886903, 0.13234457], + [0.13886903, 0.83095863, 0.79453571], + [0.13234457, 0.79453571, 0.759821 ]]), scale=0.3173292695651571, shift=array([6.34658539, 0.45683579, 1.43724532])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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candidate_index=14, candidate_x=array([6.09198754, 0.4958382 , 1.21979606]), index=0, x=array([6.34658539, 0.45683579, 1.43724532]), fval=1.0018998452432484, rho=-0.3785451029931441, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13]), old_indices_discarded=array([ 6, 11]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.34658539, 0.45683579, 1.43724532]), radius=0.15866463478257856, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 1, 2, 3, 4, 7, 8, 9, 10, 12, 13, 14]), model=ScalarModel(intercept=0.5762200144397489, linear_terms=array([0.01552187, 0.61634339, 0.55776828]), square_terms=array([[0.00222888, 0.00746107, 0.00662637], + [0.00746107, 0.42174244, 0.3807336 ], + [0.00662637, 0.3807336 , 0.34373834]]), scale=0.15866463478257856, shift=array([6.34658539, 0.45683579, 1.43724532])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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State(trustregion=Region(center=array([6.34658539, 0.45683579, 1.43724532]), radius=0.07933231739128928, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]), model=ScalarModel(intercept=1.0012728382593177, linear_terms=array([-0.02234622, 0.00422195, 0.00207664]), square_terms=array([[ 9.24466520e-04, -4.29659345e-05, -1.96322260e-05], + [-4.29659345e-05, 1.23742460e-05, 6.00977791e-06], + [-1.96322260e-05, 6.00977791e-06, 2.95515687e-06]]), scale=0.07933231739128928, shift=array([6.34658539, 0.45683579, 1.43724532])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 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square_terms=array([[ 3.66147622e-03, -1.54692426e-04, -7.48746652e-05], + [-1.54692426e-04, 4.58951032e-05, 1.76909486e-05], + [-7.48746652e-05, 1.76909486e-05, 7.02441011e-06]]), scale=0.15866463478257856, shift=array([6.42475174, 0.44426294, 1.43218945])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 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new_indices=array([], dtype=int32), old_indices_used=array([ 0, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28]), old_indices_discarded=array([ 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 20]), step_length=0.1586646347825788, relative_step_length=1.0000000000000016, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.58205417, 0.42379851, 1.42878095]), radius=0.3173292695651571, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 29]), model=ScalarModel(intercept=0.9373163308534141, linear_terms=array([-0.07851146, 0.01596916, 0.00651519]), square_terms=array([[ 1.42500742e-02, -6.46085722e-04, -3.50389301e-04], + [-6.46085722e-04, 1.94524410e-04, 7.13565267e-05], + [-3.50389301e-04, 7.13565267e-05, 2.83145479e-05]]), scale=0.3173292695651571, shift=array([6.58205417, 0.42379851, 1.42878095])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 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State(trustregion=Region(center=array([6.89783802, 0.39419424, 1.43888118]), radius=0.6346585391303142, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 2, 3, 9, 12, 15, 18, 24, 26, 27, 29, 30]), model=ScalarModel(intercept=0.8410774981922575, linear_terms=array([-0.13063166, 0.03868859, -0.00976995]), square_terms=array([[ 0.04030874, -0.00417817, 0.00101791], + [-0.00417817, 0.00190068, -0.0006102 ], + [ 0.00101791, -0.0006102 , 0.0002068 ]]), scale=array([0.51153223, 0.45286323, 0.51153223]), shift=array([6.89783802, 0.45286323, 1.43888118])), vector_model=VectorModel(intercepts=array([ 0.02586254, 0.06209225, 0.05539739, 0.07351913, 0.07586653, + 0.06994823, 0.05324876, -0.15430767, -0.30252815, -0.28958805, + -0.62402046, -0.61179069, 0.03450041, 0.05572751, 0.06318901, + 0.05435628, 0.03591128]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + 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96]), old_indices_discarded=array([], dtype=int32), step_length=0.00015494593240476418, relative_step_length=0.9999999999993695, n_evals_per_point=1, n_evals_acceptance=1)], 'message': 'Absolute criterion change smaller than tolerance.', 'tranquilo_history': History for least_squares function with 98 entries., 'history': {'params': [{'CRRA': 6.346585391303142, 'BeqMPC': 0.4568357851782139, 'BeqInt': 1.437245319506724}, {'CRRA': 5.879035015107191, 'BeqMPC': 0.0, 'BeqInt': 1.675645176481441}, {'CRRA': 6.59274553116329, 'BeqMPC': 0.0, 'BeqInt': 1.7605331040354946}, {'CRRA': 6.858117620616099, 'BeqMPC': 0.7768431947755164, 'BeqInt': 1.693602423781937}, {'CRRA': 6.524942441816071, 'BeqMPC': 0.9683680144911705, 'BeqInt': 0.9395014347882453}, {'CRRA': 6.117098893759199, 'BeqMPC': 0.9683680144911705, 'BeqInt': 1.921092741955753}, {'CRRA': 6.854650299416382, 'BeqMPC': 0.9683680144911705, 'BeqInt': 1.9472174814163323}, {'CRRA': 5.835053161990185, 'BeqMPC': 0.8279322281985095, 'BeqInt': 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rho=-19.739566247347334, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13]), old_indices_discarded=array([ 1, 8, 14]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.00399736, 0.21499393, 1.45197767]), radius=0.277808606085633, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 15]), model=ScalarModel(intercept=0.21358074217631812, linear_terms=array([-0.01186102, -0.21841417, -0.07962489]), square_terms=array([[ 0.07420231, -0.0933422 , -0.08469497], + [-0.0933422 , 0.33459361, 0.21225808], + [-0.08469497, 0.21225808, 0.15200923]]), scale=array([0.22391262, 0.21945328, 0.22391262]), shift=array([6.00399736, 0.21945328, 1.45197767])), vector_model=VectorModel(intercepts=array([ 0.01987766, 0.04598066, 0.03041946, 0.04061812, 0.03738551, + 0.02593583, 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0.12158579, 1.89980291])), candidate_index=17, candidate_x=array([6.27601091, 0.58523344, 0.93353848]), index=17, x=array([6.27601091, 0.58523344, 0.93353848]), fval=1.0143730773902615, rho=0.23683391262141784, accepted=True, new_indices=array([], dtype=int32), old_indices_used=array([ 0, 2, 3, 4, 6, 9, 10, 11, 12, 13, 15, 16]), old_indices_discarded=array([ 1, 5, 7, 8, 14]), step_length=0.4735743864011113, relative_step_length=0.8523393012798433, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([6.27601091, 0.58523344, 0.93353848]), radius=1.111234424342532, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([ 0, 3, 4, 6, 9, 10, 11, 13, 14, 15, 16, 17]), model=ScalarModel(intercept=0.15991718296112312, linear_terms=array([ 0.73676546, -1.03067015, -0.46876811]), square_terms=array([[ 3.8104302 , -4.68369287, -2.31706643], + [-4.68369287, 7.51925 , 3.37750359], + [-2.31706643, 3.37750359, 1.57069091]]), 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dtype=int32), old_indices_used=array([24, 28, 29, 31, 35, 37, 38, 39, 40, 41, 42, 43]), old_indices_discarded=array([18, 19, 21, 22, 25, 26, 27, 30, 32, 33, 34, 36]), step_length=0.16054083603537855, relative_step_length=1.1557657503662266, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.61984118, 0.19436868, 0.19592354]), radius=0.277808606085633, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([26, 28, 29, 34, 35, 37, 38, 39, 40, 42, 43, 44]), model=ScalarModel(intercept=0.11755411248244285, linear_terms=array([-0.96507311, -0.93251626, -1.05927225]), square_terms=array([[33.74854443, 28.69920442, 33.71245986], + [28.69920442, 24.59032582, 28.76472331], + [33.71245986, 28.76472331, 33.74421777]]), scale=array([0.22391262, 0.20914065, 0.20991808]), shift=array([5.61984118, 0.20914065, 0.20991808])), vector_model=VectorModel(intercepts=array([ 0.01987766, 0.04598066, 0.03041946, 0.04061812, 0.03738551, 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scale=0.555617212171266, shift=array([5.55617212, 0.12158579, 1.89980291])), candidate_index=46, candidate_x=array([5.53362808, 0.26669394, 0.28528662]), index=44, x=array([5.61984118, 0.19436868, 0.19592354]), fval=0.13210955317124928, rho=-1.2481348220198947, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([26, 28, 29, 31, 34, 35, 38, 41, 42, 43, 44, 45]), old_indices_discarded=array([18, 21, 22, 24, 25, 27, 30, 32, 33, 36, 37, 39, 40]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.61984118, 0.19436868, 0.19592354]), radius=0.06945215152140825, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([26, 28, 31, 34, 35, 38, 41, 42, 43, 44, 45, 46]), model=ScalarModel(intercept=0.18898757640619485, linear_terms=array([-1.15615607, -0.20678189, -1.16709 ]), square_terms=array([[10.36056931, 1.6136669 , 10.20359917], + [ 1.6136669 , 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old_indices_discarded=array([24, 25, 29, 30, 32, 33, 36, 37, 39, 40]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.61984118, 0.19436868, 0.19592354]), radius=0.03472607576070413, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([43, 44, 45, 46, 47]), model=ScalarModel(intercept=0.1334964429861472, linear_terms=array([0.00587726, 0.04078549, 0.00477303]), square_terms=array([[0.00038473, 0.00413787, 0.00134863], + [0.00413787, 0.05532476, 0.01881693], + [0.00134863, 0.01881693, 0.00707516]]), scale=0.03472607576070413, shift=array([5.61984118, 0.19436868, 0.19592354])), vector_model=VectorModel(intercepts=array([ 0.01987766, 0.04598066, 0.03041946, 0.04061812, 0.03738551, + 0.02593583, 0.00536335, -0.20604497, -0.35191947, -0.33570629, + -0.66658262, -0.64877111, 0.11498795, 0.13764904, 0.14554642, + 0.13714031, 0.11212963]), linear_terms=array([[0., 0., 0.], 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linear_terms=array([-0.23914241, -0.07490543, -0.28416047]), square_terms=array([[ 9.50907269, 1.92191517, 10.1588735 ], + [ 1.92191517, 0.40322861, 2.05984605], + [10.1588735 , 2.05984605, 10.85805746]]), scale=0.06945215152140825, shift=array([5.60870305, 0.16790398, 0.21568213])), vector_model=VectorModel(intercepts=array([ 0.01987766, 0.04598066, 0.03041946, 0.04061812, 0.03738551, + 0.02593583, 0.00536335, -0.20604497, -0.35191947, -0.33570629, + -0.66658262, -0.64877111, 0.11498795, 0.13764904, 0.14554642, + 0.13714031, 0.11212963]), linear_terms=array([[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]]), square_terms=array([[[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 0., 0.]], + + [[0., 0., 0.], + [0., 0., 0.], + [0., 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candidate_x=array([5.48756168, 0.15676709, 0.56310886]), index=52, x=array([5.59951799, 0.12574087, 0.45115255]), fval=0.08054668893565853, rho=-2.2641420315309957, accepted=False, new_indices=array([], dtype=int32), old_indices_used=array([28, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53]), old_indices_discarded=array([21, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, + 41, 42]), step_length=0.0, relative_step_length=0.0, n_evals_per_point=1, n_evals_acceptance=1), State(trustregion=Region(center=array([5.59951799, 0.12574087, 0.45115255]), radius=0.06945215152140825, bounds=Bounds(lower=array([1.1, 0. , 0. ]), upper=array([20., 1., 10.]))), model_indices=array([44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54]), model=ScalarModel(intercept=0.08140190194785468, linear_terms=array([ 0.01831619, 0.02721185, -0.00014727]), square_terms=array([[0.05409366, 0.17678907, 0.04270646], + [0.17678907, 0.61410487, 0.15177775], + [0.04270646, 0.15177775, 0.03802407]]), 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{'CRRA': 5.871742874091359, 'BeqMPC': 0.2667760532478406, 'BeqInt': 0.03719679397579235}, {'CRRA': 5.798043970245222, 'BeqMPC': 0.16033035221467345, 'BeqInt': 0.0}, {'CRRA': 5.7597865646497155, 'BeqMPC': 0.16299734011234554, 'BeqInt': 0.05433282008134767}, {'CRRA': 5.771689196080128, 'BeqMPC': 0.27177933290180006, 'BeqInt': 0.0}, {'CRRA': 5.842602334072404, 'BeqMPC': 0.16033035221467345, 'BeqInt': 0.05586558658569075}, {'CRRA': 5.7597865646497155, 'BeqMPC': 0.27228666165631626, 'BeqInt': 0.05597815472082139}, {'CRRA': 5.787775642010127, 'BeqMPC': 0.2341363430482029, 'BeqInt': 0.027989077360410702}, {'CRRA': 5.731797487289305, 'BeqMPC': 0.22091918703048638, 'BeqInt': 0.0839672320812321}, {'CRRA': 5.619841177847662, 'BeqMPC': 0.19436867691575474, 'BeqInt': 0.1959235415228749}, {'CRRA': 5.628638537377415, 'BeqMPC': 0.20164091745944043, 'BeqInt': 0.20439627094024637}, {'CRRA': 5.533628078487409, 'BeqMPC': 0.266693943089176, 'BeqInt': 0.2852866213347593}, {'CRRA': 5.580881350081275, 'BeqMPC': 0.23856320669808145, 'BeqInt': 0.23643417870431552}, {'CRRA': 5.608703046806999, 'BeqMPC': 0.16790397931308848, 'BeqInt': 0.21568212979990245}, {'CRRA': 5.564483019243575, 'BeqMPC': 0.21123127272868678, 'BeqInt': 0.2505928547387759}, {'CRRA': 5.595292323049883, 'BeqMPC': 0.17612521000401943, 'BeqInt': 0.24688953125082863}, {'CRRA': 5.60939337014998, 'BeqMPC': 0.1597041681478223, 'BeqInt': 0.316818568178685}, {'CRRA': 5.599517992825543, 'BeqMPC': 0.12574087188008407, 'BeqInt': 0.4511525466496824}, {'CRRA': 5.375605373942258, 'BeqMPC': 0.06865692768995102, 'BeqInt': 0.675065165532968}, {'CRRA': 5.4875616833839, 'BeqMPC': 0.1567670937997075, 'BeqInt': 0.5631088560913252}, {'CRRA': 5.54356745993643, 'BeqMPC': 0.12758942961535188, 'BeqInt': 0.49628302676631236}, {'CRRA': 5.431611547114444, 'BeqMPC': 0.01563610200839752, 'BeqInt': 0.3843267173246696}, {'CRRA': 5.54356745993643, 'BeqMPC': 0.12758942961535188, 'BeqInt': 0.49628302676631236}], 'criterion': [1.236154284093225, 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0.10949591412256703, 0.09523212014905891, 0.08054668893565853, 0.3787855189165851, 0.22789613650867369, 0.07138874587072694, 88.28901965829593, 0.07138874587072694], 'runtime': [0.0, 1.464362899999287, 1.6534280999994735, 1.8233813999995618, 1.9998985999991419, 2.174093599999651, 2.355422599999656, 2.5415128999993613, 2.7316923999997016, 2.923584299999675, 3.1089272999997775, 3.29981829999997, 3.495137999999315, 4.707381299999724, 5.890986399999747, 7.165467199999512, 8.31076529999973, 9.464212599999883, 10.606560799999897, 11.756314999999631, 12.943081499999607, 14.104001299999254, 15.2590926999992, 16.52171019999969, 17.73161429999982, 18.934333699999115, 20.115222499999618, 21.25841439999931, 22.401211799999146, 24.040739599999142, 24.225978099999338, 24.400326899999527, 24.58672799999931, 24.75939499999913, 24.94295409999995, 25.122648599999593, 25.304184499999792, 25.4981659999994, 25.6849801999997, 25.87569749999966, 26.06003999999939, 27.255546599999434, 28.418499199999133, 29.5603315999997, 30.704278699999122, 31.927810999999565, 33.074474799999734, 34.34761779999917, 35.49656519999917, 36.64384119999977, 37.78080079999927, 38.991342799999984, 40.18580279999969, 41.325878999999986, 42.61147619999974, 43.75162399999954, 44.97582589999911, 46.13917109999966], 'batches': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}], 'exploration_sample': array([[ 9.36875 , 0.5625 , 1.875 ], + [ 8.778125 , 0.90625 , 2.8125 ], + [ 9.959375 , 0.09375 , 8.4375 ], + [ 8.1875 , 0.375 , 6.25 ], + [ 4.97205913, 0.1 , 1. ], + [10.55 , 0.5 , 5. ], + [ 7.596875 , 0.71875 , 7.1875 ], + [ 7.00625 , 0.1875 , 3.125 ], + [11.73125 , 0.4375 , 0.625 ], + [ 6.415625 , 0.28125 , 1.5625 ], + [12.321875 , 0.96875 , 9.6875 ], + [12.9125 , 0.125 , 8.75 ], + [ 5.825 , 0.75 , 7.5 ], + [13.503125 , 0.65625 , 0.3125 ], + [ 5.234375 , 0.84375 , 0.9375 ], + [14.09375 , 0.8125 , 4.375 ], + [14.684375 , 0.34375 , 5.9375 ], + [ 4.64375 , 0.3125 , 9.375 ], + [15.275 , 0.25 , 2.5 ], + [ 4.053125 , 0.15625 , 5.3125 ], + [15.865625 , 0.78125 , 6.5625 ], + [ 3.4625 , 0.625 , 3.75 ], + [16.45625 , 0.6875 , 8.125 ], + [17.046875 , 0.21875 , 2.1875 ], + [ 2.871875 , 0.46875 , 4.6875 ], + [ 2.28125 , 0.9375 , 5.625 ], + [17.6375 , 0.875 , 1.25 ], + [18.228125 , 0.40625 , 7.8125 ], + [18.81875 , 0.0625 , 6.875 ], + [19.409375 , 0.59375 , 3.4375 ]]), 'exploration_results': array([0.64209144, 0.6484228 , 0.66164058, 0.68191617, 0.68336853, + 0.70447659, 0.74714836, 0.84712201, 0.86239976, 0.97173338, + 0.97951322, 1.12431839, 1.18220474, 1.30410663, 1.42368725, + 1.52011014, 1.78024917, 1.78133902, 2.09714539, 2.24371068, + 2.48116605, 2.89497477, 2.94379242, 3.49762974, 3.76794921, + 4.13898884, 4.16035282, 4.94978648, 5.89491246, 7.00125067])}}" diff --git a/src/estimark/estimation.py b/src/estimark/estimation.py index ad8bef3..14ab4c1 100644 --- a/src/estimark/estimation.py +++ b/src/estimark/estimation.py @@ -87,6 +87,9 @@ def make_agent(agent_name): if "Portfolio" in agent_name: track_vars += ["Share"] agent.track_vars = track_vars + if "WarmGlow" in agent_name: + agent.BeqMPC = 1.0 # dummy value + agent.BeqInt = 1.0 agent.name = agent_name @@ -248,9 +251,13 @@ def simulate_moments(params, agent=None, emp_moments=None): agent.TranShkStd = init_subjective_labor["TranShkStd"] agent.PermShkStd = init_subjective_labor["PermShkStd"] agent.update_income_process() - + + # Update parameters on the agent / construct them agent.update() - + if "WarmGlow" in agent.name: + agent.BeqFac = agent.BeqMPC**(-agent.CRRA) + agent.BeqShift = agent.BeqInt / agent.BeqMPC + # Solve the model for these parameters, then simulate wealth data agent.solve() # Solve the microeconomic model @@ -881,8 +888,8 @@ def estimate( if __name__ == "__main__": # Set booleans to determine which tasks should be done # Which agent type to estimate ("IndShock" or "Portfolio") - local_agent_name = "WealthPortfolio" - local_params_to_estimate = ["CRRA", "WealthShare", "WealthShift"] + local_agent_name = "WarmGlowPortfolio" + local_params_to_estimate = ["CRRA", "BeqMPC", "BeqInt"] local_estimate_model = True # Whether to estimate the model # Whether to get standard errors via bootstrap local_compute_se_bootstrap = False diff --git a/src/estimark/options.py b/src/estimark/options.py index 5c6f690..6a467a1 100644 --- a/src/estimark/options.py +++ b/src/estimark/options.py @@ -2,7 +2,7 @@ # resource requirements: from __future__ import annotations -params_to_estimate = ["CRRA", "BeqShift", "BeqFac", "WealthShare"] +params_to_estimate = ["CRRA", "BeqMPC", "BeqInt", "WealthShare"] low_resource = { "estimate_model": True, diff --git a/src/estimark/parameters.py b/src/estimark/parameters.py index c5c4b88..2c97139 100644 --- a/src/estimark/parameters.py +++ b/src/estimark/parameters.py @@ -81,11 +81,11 @@ init_WealthShift = 0.0 # Initial guess of the wealth shift parameter bounds_WealthShift = [0.0, 100.0] # Bounds for the wealth shift parameter -init_BeqFac = 1.0 # Initial guess of the bequest factor -bounds_BeqFac = [0.0, 100.0] # Bounds for the bequest factor +init_BeqMPC = 0.1 # Initial guess of the pseudo MPC of the bequest motive +bounds_BeqMPC = [0.0, 1.0] # Bounds for the pseudo-MPC of the bequest motive -init_BeqShift = 0.0 # Initial guess of the bequest shift parameter -bounds_BeqShift = [0.0, 70.0] # Bounds for the bequest shift parameter +init_BeqInt = 1.0 # Initial guess of the pseudo intercept of the bequest motive +bounds_BeqInt = [0.0, 10.0] # Bounds for the pseudo intercept of the bequest motive ###################################################################### # Constructed parameters @@ -141,24 +141,24 @@ "DiscFac": init_DiscFac, "WealthShare": init_WealthShare, "WealthShift": init_WealthShift, - "BeqFac": init_BeqFac, - "BeqShift": init_BeqShift, + "BeqMPC": init_BeqMPC, + "BeqInt": init_BeqInt, }, "upper_bounds": { "CRRA": bounds_CRRA[1], "DiscFac": bounds_DiscFac[1], "WealthShare": bounds_WealthShare[1], "WealthShift": bounds_WealthShift[1], - "BeqFac": bounds_BeqFac[1], - "BeqShift": bounds_BeqShift[1], + "BeqMPC": bounds_BeqMPC[1], + "BeqInt": bounds_BeqInt[1], }, "lower_bounds": { "CRRA": bounds_CRRA[0], "DiscFac": bounds_DiscFac[0], "WealthShare": bounds_WealthShare[0], "WealthShift": bounds_WealthShift[0], - "BeqFac": bounds_BeqFac[0], - "BeqShift": bounds_BeqShift[0], + "BeqMPC": bounds_BeqMPC[0], + "BeqInt": bounds_BeqInt[0], }, }