Fmincon too many input arguments
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function [x,fval,exitflag,output] = try_no_gradient(u0)
% This is an auto generated M-file from Optimization Tool.
% Start with the default options
options=optimset('largescale','off','display','iter');
% options = optimset;
% Modify options setting
% options = optimset(options,'Display', 'iter-detailed');
% options = optimset(options,'PlotFcns', { @optimplotx @optimplotfval });
% options = optimset(options,'Algorithm', 'interior-point');
% options = optimset(options,'DerivativeCheck', 'on');
% options = optimset(options,'GradConstr', 'off');
% options = optimset(options,'GradObj', 'off');
% Initial Design
u0=[0,0];
% fmincon called
[u,fval,exitflag,output] = ...
fmincon(@try_obj,u0,[],[],[],[],[],[],@try_con,options);
beta=fval
x(1)=u(1)*3.8+38
x(2)=u(2)*2.7+54
% function for objective
function [f]=try_obj(u)
f = sqrt(u(1)^2+u(2)^2);
% gradient of the objective
% nargout: required number of arguments in the output
% function for objective
function [g ceq]=try_con(u)
g=[];
x(1)=u(1)*3.8+38;
x(2)=u(2)*2.7+54;
ceq=[x(1)*x(2)-1140];
I've tried to use objective function, initial condition and constraint formulation for my fmincon optimization. It's throwing an error saying too many input arguments. I've passed 10 inputs still it says so. Can anyone help me to resolve it here?
Accepted Answer
More Answers (1)
John D'Errico
on 5 May 2022
Edited: John D'Errico
on 5 May 2022
0 votes
How are you using it? That is, how did you call the function try_no_gradient(u0)?
When you get an error message, show the COMPLETE error message. Otherwise, we must guess what you did wrong. Show EVERYTHING in red.
My guess is that you do not understand how to pass in the vector u0.
1 Comment
Mohammad Nazmus Saquib
on 5 May 2022
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