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
Examples
>>> 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.]])