Update examples

dcajasn · Jan 6, 2024 · 1653218 · 1653218
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diff --git a/examples/Tutorial 38 - Mean Kurtosis Optimization.ipynb b/examples/Tutorial 38 - Mean Kurtosis Optimization.ipynb
@@ -434,7 +434,8 @@
     "                  method_kurt=method_kurt,\n",
     "                  )\n",
     "\n",
-    "port.solvers = ['CLARABEL'] # It is recommended to use mosek when optimizing GMD\n",
+    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing GMD\n",
+    "port.sol_params = {'MOSEK': {'mosek_params': {'MSK_IPAR_NUM_THREADS': 2}}}\n",
     "\n",
     "# Estimate optimal portfolio:\n",
     "model ='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",

diff --git a/examples/Tutorial 39 - Mean Semi Kurtosis Optimization.ipynb b/examples/Tutorial 39 - Mean Semi Kurtosis Optimization.ipynb
@@ -436,8 +436,8 @@
     "\n",
     "# Estimate optimal portfolio:\n",
     "\n",
-    "port.solvers = ['CLARABEL'] # It is recommended to use mosek when optimizing GMD\n",
-    "#port.sol_params = {'MOSEK': {'mosek_params': {'MSK_IPAR_NUM_THREADS': 2}}}\n",
+    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing GMD\n",
+    "port.sol_params = {'MOSEK': {'mosek_params': {'MSK_IPAR_NUM_THREADS': 2}}}\n",
     "\n",
     "model ='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
     "rm = 'SKT' # Risk measure used, this time will be Tail Gini Range\n",