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Member of the optimization class.

Syntax

xmin = fminsearch(fun, xstart)

[xmin, fval] = fminsearch(fun, xstart)

Description

Uses the Downhill Simplex method to compute the n-dimensional minimum of a function. You often can use the Downhill Simplex method to minimize discontinuous functions.

Details

Examples

Inputs

Name	Description
fun	Specifies the function whose minimum you want to compute. The function you specify must accept a vector of the same length as xstart and return a scalar. fun is a string.
xstart	Specifies the point at which to begin searching for a minimum value of fun. xstart is a real, double-precision vector.

Outputs

Name	Description
xmin	Returns the point at which fun has the minimum value. xmin is a real, double-precision vector.
fval	Returns the value of fun evaluated at xmin. fval is a real, double-precision scalar.

Details

This function is not supported in the LabVIEW Run-Time Engine. Do not use this function in a stand-alone application or shared library.

Examples

% The myfun function is defined by:
% function f = myfun(x)
% f = x(1)^2-5*x(1)+3*(x(2)+2)^2+2
[XMIN, FVAL] = fminsearch('myfun', [1; 1])

Related Topics

fminbnd
fmincon
fminunc