ossrs 1.0

Optimized Step Size Random Search(OSSRS) A random search method[1] for the optimization of a function of n variables. Can be used as a start-up before using a determistic method like Simplex method of Nelder and Mead to arrive at the region of the optimum and then switch to a deterministic search. The function to be minimized is to be deifned in the m function called fun.m. 'n' is the number of variables. x is the vector of initial variables. 'std' can be set based on the range of variation of the variables- about 10% of x- the initial values-should be right. The following demo function is included: Minimize: f(x)=(x(1)-5)^2+(x(2)+8)^2 Solution: [5,-8] Reference: Sheela Belur V, An Optimized Step Size Random Search , Computer Methods in Appl. Mech & Engg, Vol. 19, 99-106 , 1979 Tested under MATLAB 4.2c & 5

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Based,  Computer,  Fx3dx1522bx22b82,  Included,  Initial,  Matlab,  Methods,  Minimize,  Range,  Search,  Std,  Tested,  Valuesshould,  Variation,  Vector
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