Scilab Website | Contribute with GitLab | Mailing list archives | ATOMS toolboxes
Scilab Online Help
5.3.2 - Français

Change language to:
English - 日本語 - Português

Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function

Aide Scilab >> Optimisation et Simulation > Neldermead > optimplotfval

optimplotfval

Plot the function value of an optimization algorithm

SYNOPSIS

optimplotfval ( x , optimValues , state )

Description

This function creates and updates a plot of the function value, 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 optimplotfval 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" , optimplotfval );
[x fval] = fminsearch ( rosenbrock , [-1.2 1] , opt );

Authors

Michael Baudin - Digiteo - 2009

See Also

  • optimset — Configures and returns an optimization data structure.
  • fminsearch — Computes the unconstrained minimimum of given function with the Nelder-Mead algorithm.
  • optimplotx — Plot the value of the parameters of an optimization algorithm
  • optimplotfunccount — Plot the number of function evaluations of an optimization algorithm
<< optimplotfunccount Neldermead optimplotx >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Thu May 12 11:44:58 CEST 2011