Simplex ------- Regression method for arbitrary nonlinear function minimization. Simplex minimizes an arbitrary nonlinear function of N variables by the Nedler-Mead Simplex method as described in: Nedler, J.A. and Mead, R., "A Simplex Method for Function Minimization", Computer Journal, Vol. 7, 1965, pp. 308-313. It makes no assumptions about the smoothness of the function being minimized. It converges to a local minimum which may or may not be the global minimum depending on the initial guess used as a starting point. URL: http://www.omniscia.org/~vivake/python/ Download: http://www.omniscia.org/~vivake/python/Simplex.py License: GPL Categories: Math Vivake Gupta (v@omniscia.org) http://www.omniscia.org/~vivake/python/ -- <a href="http://www.omniscia.org/~vivake/python/">Simplex</a> -- Regression method for arbitrary nonlinear function minimization.
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Vivake Gupta