Plot the number of function evaluations of an optimization algorithm (original) (raw)

Scilab 5.3.3

Please note that the recommended version of Scilab is 2026.0.1. This page might be outdated.
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Scilab help >> Optimization and Simulation > Neldermead > optimplotfunccount

optimplotfunccount

Plot the number of function evaluations of an optimization algorithm

SYNOPSIS

optimplotfunccount ( x , optimValues , state )

Description

This function creates and updates a plot of the number of function evaluations, depending on the number of iterations. It is a pre-defined plot function which should be used as an option of the "PlotFcns" option.

Example

In the following example, we use the optimplotfunccount function for use with the fminsearch function.

function y=rosenbrock(x) y = 100*(x(2)-x(1)^2)^2 + (1-x(1))^2; endfunction opt = optimset ( "PlotFcns" , optimplotfunccount ); [x fval] = fminsearch ( rosenbrock , [-1.2 1] , opt );

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