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#!/usr/bin/env python
#
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
# Copyright (c) 1997-2016 California Institute of Technology.
# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - https://github.com/uqfoundation/mystic/blob/master/LICENSE
"""
Example:
- Minimize Rosenbrock's Function with Powell's method.
Demonstrates:
- standard models
- minimal solver interface
"""
# Powell's Directonal solver
from mystic.solvers import fmin_powell
# Rosenbrock function
from mystic.models import rosen
if __name__ == '__main__':
print("Powell's Method")
print("===============")
# initial guess
x0 = [0.8,1.2,0.7]
# use Powell's method to minimize the Rosenbrock function
solution = fmin_powell(rosen,x0)
print(solution)
# end of file
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