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Hi, here is my program

par0 = [0.005276, 0.5017, 88.6357];% initial values

fun_objetivo = @(par,pfrac)FunObjetivo(par);

options = optimset('MaxFunEvals',3000,'Display','iter','PlotFcns',@optimplotfval);

%We use here the Nelder-Mead method

par_optimos = fminsearch(fun_objetivo, par0, options);

I need help with some comands to create a 3d plot, what I want is a 3d plot with "par_optimos(1)" as X, "par_optimos(2)" as Y and "min f(x)" as Z , so I can see how two of the values of my vector "par_optimos" are optimized in each iteration.

Walter Roberson
on 10 May 2021

options = optimset('MaxFunEvals',3000,'Display','iter','PlotFcns',@plot_12z);

and

function stop = plot_12z(X,OPTIMVALUES,STATE)

persistent h

stop = false;

switch STATE

case 'init'

if isempty(h) || ~isvalid(h)

fig = figure();

ax = axes(fig);

h = animatedline();

end

case 'done'

if ~isempty(h) && isvalid(h)

delete(ancestor(h), 'figure');

end

case 'iter'

if isvalid(h)

addpoints(h, X(1), X(2), OPTIMVALUES.fval);

end

case 'interupt'

%no new data

end

end

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