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[r3313]: / trunk / py4science / book / examples / scipy / example5.2 Maximize Restore History

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>>> from scipy.optimize import fmin
>>> def rosen(x):  # The Rosenbrock function
        return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)

>>> x0 = [1.3, 0.7, 0.8, 1.9, 1.2]
>>> xopt = fmin(rosen, x0)
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 516
         Function evaluations: 825

>>> print xopt
[ 1.  1.  1.  1.  1.]