`scipy.optimize._optimize:rosen_hess`

Signature

def rosen_hess(x)

The Hessian matrix of the Rosenbrock function.

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

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

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.]])