fitbenchmarking.hessian.scipy_hessian module
Module which calculates SciPy finite difference approximations
- class fitbenchmarking.hessian.scipy_hessian.Scipy(problem, jacobian)
Bases:
Hessian
Implements SciPy finite difference approximations to the derivative
- INCOMPATIBLE_PROBLEMS = {'cs': ['mantid']}
- eval(params, **kwargs)
Evaluates Hessian of problem.eval_model, returning the value
abla^2_p f(x, p)
- param params:
The parameter values to find the Hessian at
- type params:
list
- return:
Approximation of the Hessian
- rtype:
3D numpy array