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

scipy.optimize.

scipy.optimize.rosen_hess(x)[source]#

The Hessian matrix of the Rosenbrock function.

Parameters:

xarray_like

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

Returns:

rosen_hessndarray

The Hessian matrix of the Rosenbrock function at x.

Examples

import numpy as np from scipy.optimize import rosen_hess X = 0.1 * np.arange(4) rosen_hess(X) array([[-38., 0., 0., 0.], [ 0., 134., -40., 0.], [ 0., -40., 130., -80.], [ 0., 0., -80., 200.]])