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scipy.optimize.

# rosen_hess

scipy.optimize.rosen_hess(x)

  The Hessian matrix of the Rosenbrock function.

  Parameters:
    x array_like

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

  Returns:
    rosen_hess ndarray

      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.]])