scipy.optimize.rosen

scipy.optimize.rosen(x)

The Rosenbrock function.

The function computed is:

sum(100.0*(x[1:] - x[:-1]**2.0)**2.0 + (1 - x[:-1])**2.0)

Parameters:

x : array_like

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

Returns:

f : float

The value of the Rosenbrock function.

See also

rosen_der, rosen_hess, rosen_hess_prod

Examples

>>> from scipy.optimize import rosen
>>> X = 0.1 * np.arange(10)
>>> rosen(X)
76.56