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Справка Scilab >> Optimization and Simulation > Neldermead > optimplotfunccount

optimplotfunccount

Plot the number of function evaluations of an optimization algorithm

Syntax

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 );

See also

  • optimset — Configures and returns an optimization data structure.
  • fminsearch — Computes the unconstrained minimum of given function with the Nelder-Mead algorithm.
  • optimplotx — Plot the value of the parameters of an optimization algorithm
  • optimplotfval — Plot the function value of an optimization algorithm
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Last updated:
Tue Feb 14 15:13:25 CET 2017