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Update README.md
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jabbring authored Apr 5, 2021
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### 6. Numerical differentiation

- [numgrad.m](https://github.com/jabbring/mht-likelihood/blob/master/numgrad.m)n - calculation of gradient using finite (central) differences
- [numjac.m](https://github.com/jabbring/mht-likelihood/blob/master/numjac.m)n - calculation of Jacobian using finite (central) differences (used to compute Hessian from gradient functions)
- [numgrad.m](https://github.com/jabbring/mht-likelihood/blob/master/numgrad.m) - calculation of gradient using finite (central) differences
- [numjac.m](https://github.com/jabbring/mht-likelihood/blob/master/numjac.m) - calculation of Jacobian using finite (central) differences (used to compute Hessian from gradient functions)

## Data

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