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Справка Scilab >> Optimization and Simulation > Neldermead > optimplotfval


Plot the function value of an optimization algorithm


optimplotfval ( x , optimValues , state )


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.


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;
opt = optimset ( "PlotFcns" , optimplotfval );
[x fval] = fminsearch ( rosenbrock , [-1.2 1] , opt );

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
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Last updated:
Thu Oct 02 14:01:07 CEST 2014