`scipy.optimize._optimize:rosen_hess`

source: /scipy/optimize/_optimize.py :432

Signature

def rosen_hess ( x )

Summary

The Hessian matrix of the Rosenbrock function.

Parameters

x : array_like: 1-D array of points at which the Hessian matrix is to be computed.

Returns

rosen_hess : ndarray: The Hessian matrix of the Rosenbrock function at x.

Notes

Array API Standard Support

rosen_hess has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

====================  ====================  ====================
Library               CPU                   GPU
====================  ====================  ====================
NumPy                 ✅                     n/a                 
CuPy                  n/a                   ✅                   
PyTorch               ✅                     ✅                   
JAX                   ✅                     ✅                   
Dask                  ✅                     n/a                 
====================  ====================  ====================

See dev-arrayapi for more information.

Examples

import numpy as np
from scipy.optimize import rosen_hess
X = 0.1 * np.arange(4)
rosen_hess(X)

✓

Aliases

scipy.optimize.rosen_hess

Referenced by

This package

release:1.15.0-notes