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fmins

PURPOSE ^

%

SYNOPSIS ^

function ret=fmins(funfun, X0, options, grad, varargin)

DESCRIPTION ^

% -*- texinfo -*-
% @deftypefn {Function File} {[@var{x}] =} fmins(@var{f},@var{X0},@var{options},@var{grad},@var{P1},@var{P2}, ...)
% 
% Find the minimum of a funtion of several variables.
% By default the method used is the Nelder&Mead Simplex algorithm
%
% Example error:
%   fmins(inline('(x(1)-5).^2+(x(2)-8).^4'),[0;0])
% 
% @strong{Inputs}
% @table @var 
% @item f 
% A string containing the name of the function to minimize
% @item X0
% A vector of initial parameters fo the function @var{f}.
% @item options
% Vector with control parameters (not all parameters are used)
% @verbatim
% options(1) - Show progress (if 1, default is 0, no progress)
% options(2) - Relative size of simplex (default 1e-3)
% options(6) - Optimization algorithm
%    if options(6)==0 - Nelder & Mead simplex (default)
%    if options(6)==1 - Multidirectional search Method
%    if options(6)==2 - Alternating Directions search
% options(5)
%    if options(6)==0 & options(5)==0 - regular simplex
%    if options(6)==0 & options(5)==1 - right-angled simplex
%       Comment: the default is set to 'right-angled simplex'.
%         this works better for me on a broad range of problems,
%         although the default in nmsmax is 'regular simplex'
% options(10) - Maximum number of function evaluations
% @end verbatim
% @item grad
% Unused (For compatibility with Matlab)
% @item P1,P2, ...
% Optional parameters for function @var{f} 
%
% @end table
% @end deftypefn

CROSS-REFERENCE INFORMATION ^

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