scipy.optimize.rosen¶
-
scipy.optimize.
rosen
(x)[source]¶ The Rosenbrock function.
The function computed is:
sum(100.0*(x[1:] - x[:-1]**2.0)**2.0 + (1 - x[:-1])**2.0)
- Parameters
- xarray_like
1-D array of points at which the Rosenbrock function is to be computed.
- Returns
- ffloat
The value of the Rosenbrock function.
See also
Examples
>>> from scipy.optimize import rosen >>> X = 0.1 * np.arange(10) >>> rosen(X) 76.56