Can you help me with the output of my optimizer?

Question

Jorge Armando Vazquez 2021-6-1

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https://ww2.mathworks.cn/matlabcentral/answers/845660-can-you-help-me-with-the-output-of-my-optimizer

编辑： Walter Roberson 2021-6-3

I have this program from

par0 = [0.1,0.0001,100];% initial values
history = [];
fun_objetivo = @(par,pfrac)FunObjetivo(par);
options = optimset('MaxIter',3000,'MaxFunEvals',3000,'Display','iter','OutputFcn', @myoutput);
%We use here the Nelder-Mead method
par_optimos = fminsearch(fun_objetivo, par0, options);
 function stop = myoutput(par_optimos,optimvalues,state);
        stop = false;
        if isequal(state,'iter')
          history = [history;par_optimos];
        end
    end

but I can´t make it give me the value of my vector par_optimos for each iteration, can someone help me?

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Answer 1

Sulaymon Eshkabilov 2021-6-1

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You'd need define a math formulation of fun_objetivo = @(par,pfrac)FunObjetivo(par);

Once it is done, you can run via loop iteration, i.e.: for ... end

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Answer 2

Alan Weiss 2021-6-2

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https://ww2.mathworks.cn/matlabcentral/answers/845660-can-you-help-me-with-the-output-of-my-optimizer#answer_715235

Use this example as a guide: Example of a Nested Output Function.

Alan Weiss

MATLAB mathematical toolbox documentation

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Jorge Armando Vazquez 2021-6-3

在 MATLAB Online 中打开

That is what I used

fun_objetivo = @(par,pfrac)FunObjetivo(par);
history=[];
options = optimset('MaxIter',3000,'MaxFunEvals',3000,'Display','iter','OutputFcn', @myoutput);;%,'PlotFcns',@optimplotfval);
%We use here the Nelder-Mead method
par_optimos = fminsearch(fun_objetivo, par0, options);
   function stop = myoutput(par_optimos,optimvalues,state);
        stop = false;
        if isequal(state,'iter')
          history = [history;par_optimos];
          
        end
    end 

but there is error with

Error in Main_optim_15_05_21>myoutput (line 15)
          history = [history;par_optimos];

Walter Roberson 2021-6-3

编辑：Walter Roberson 2021-6-3

在 MATLAB Online 中打开

You did not nest the function like suggested.

history = do_the_work;
function hist = do_the_work()
    fun_objetivo = @(par,pfrac)FunObjetivo(par);
    history=[];
    options = optimset('MaxIter',3000,'MaxFunEvals',3000,'Display','iter','OutputFcn', @myoutput);;%,'PlotFcns',@optimplotfval);
    %We use here the Nelder-Mead method
    par_optimos = fminsearch(fun_objetivo, par0, options);
    hist = history;
    
   function stop = myoutput(par_optimos,optimvalues,state);
        stop = false;
        if isequal(state,'iter')
          history = [history;par_optimos];
          
        end
   end
end