rosen_hess_prod — SciPy v1.15.3 Manual (original) (raw)

scipy.optimize.

scipy.optimize.rosen_hess_prod(x, p)[source]#

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

Parameters:

xarray_like

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

parray_like

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

Returns:

rosen_hess_prodndarray

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) array([ -0., 27., -10., -95., -192., -265., -278., -195., -180.])