scipy How to write a Jacobian function for optimize.minimize
Syntax
- import numpy as np
- from scipy.optimize import _minimize
- from scipy import special
- import matplotlib.pyplot as plt
Remarks
Note the underscore before 'minimize' when importing from scipy.optimize; '_minimize' Also, i tested the functions from this link before doing this section, and found I had less trouble/it worked faster, if I imported 'special' separately. The Rosenbrock function on the linked page was incorrect - you have to configure the colorbar first; I've posted alternate code but think it could be better.
Further examples to come.
See here for an explanation of Hessian Matrix
