scipy.optimize.

rosen_hess#

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.

See also

rosen, rosen_der, rosen_hess_prod

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.]])