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bundles / scipy latest / scipy / optimize / _optimize / rosen_hess_prod

function

scipy.optimize._optimize:rosen_hess_prod

source: build-install/usr/lib/python3.14/site-packages/scipy/optimize/_optimize.py:477

Signature

def rosen_hess_prod(x, p)

Summary

Product of the Hessian matrix of the Rosenbrock function with a vector.

Parameters

x : array_like

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

p : array_like

1-D array, the vector to be multiplied by the Hessian matrix.

Returns

rosen_hess_prod : ndarray

The Hessian matrix of the Rosenbrock function at x multiplied by the vector p.

Examples

import numpy as np
from scipy.optimize import rosen_hess_prod
X = 0.1 * np.arange(9)
p = 0.5 * np.arange(9)
rosen_hess_prod(X, p)
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array([  -0.,   27.,  -10.,  -95., -192., -265., -278., -195., -180.])

See also

rosen
rosen_der
rosen_hess

Aliases

  • scipy.optimize.rosen_hess_prod