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

scipy.optimize.

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

The derivative (i.e. gradient) of the Rosenbrock function.

Parameters:

xarray_like

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

Returns:

rosen_der(N,) ndarray

The gradient of the Rosenbrock function at x.

Examples

import numpy as np from scipy.optimize import rosen_der X = 0.1 * np.arange(9) rosen_der(X) array([ -2. , 10.6, 15.6, 13.4, 6.4, -3. , -12.4, -19.4, 62. ])