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

Change language to:
English - 日本語 - Português - Русский

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 This page might be outdated.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 de Scilab >> Optimisation et Simulation > Neldermead > optimplotx

optimplotx

Plot the value of the parameters of an optimization algorithm

Syntax

optimplotx ( x , optimValues , state )

Description

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

See also

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

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:
Mon Feb 12 19:15:31 CET 2018