Hi,
Can you share the code where you are using the function "lsqnonlin".
How to overcome this error while using lsqnonlin for curvefitting??
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Solver stopped prematurely.
fmincon stopped because it exceeded the function evaluation limit,
options.MaxFunctionEvaluations = 3.000000e+03.
Please help me to change maxfunctionevaluations to 10000.
2 Comments
Answers (3)
Hassaan
on 17 Jan 2024
you can set various options including the maximum number of function evaluations using the optimoptions function. If you're reaching the function evaluation limit, you can increase it as follows:
% Create an options structure for fmincon where you set the MaxFunctionEvaluations to 10000
options = optimoptions('fmincon', 'MaxFunctionEvaluations', 10000);
% Then you pass these options to the fmincon function
% For example, if you were minimizing a function 'myFunction' starting at an initial point 'x0'
[x, fval, exitflag, output] = fmincon(@myFunction, x0, [], [], [], [], [], [], [], options);
In this code, replace @myFunction with the handle to your actual objective function and x0 with your actual initial point for the optimization. The rest of the parameters [] should be replaced with any constraints you have.
Make sure to include this options structure when you call fmincon. The solver will then use the specified limit for function evaluations.
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Mann Baidi
on 17 Jan 2024
Hi Anil,
As per my understanding of the question, you would like to change the "options.MaxFunctionEvaluations" from 3000 to 10000.
You can accomplish this using the below code:
% Assuming you have an existing options structure
options = optimoptions('fmincon')
% Set the 'MaxFunctionEvaluations' option to 10000
options.MaxFunctionEvaluations = 10000;
options
Hope this works!
0 Comments
Torsten
on 17 Jan 2024
Edited: Torsten
on 17 Jan 2024
clc
clear all
close all
warning off
%25wt.%
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ydata = [sm;lm;lf];
tdata = freq;
% scatter(freq,ydata);
fun = @(x)nlsqfun(x,tdata,ydata);
x0 = [1e-5,0.1,0.1,0.1,0,0,0,0,0.01];
% x0 = [7.1066e-08;0.5235;0.6678;0.0192;8.3181e+03;2.7365e+03;1.6327e+03;543.8365;0.1859];
% x0 = zeros(1,9);
A = [];
b = [];
Aeq = [];
beq = [];
lb = zeros(1,9);
ub = [0.01,1,1,1,inf,inf,inf,inf,1];
x = lsqnonlin(fun,x0,lb,ub,A,b,Aeq,beq)
E = fun(x);
%[tdata,idx] = sort(tdata);
%plot(tdata,E(idx),'o')
plot(tdata,E,'o')
function E = nlsqfun(x,tdata,ydata)
E0 = 3.73;
Tr = x(1); al = x(2); bta = x(3); g = x(4); p = x(9); l1 = x(5); l2 = x(6); l3 = x(7); o = x(8);
ER = (E0 + ((l1*(((tdata).*Tr).^(g+p)).*(cos(0.5*pi*(g+p)) + l2*cos(0.5*pi*p)*(((tdata).*Tr).^(g))))./(1+ l2*(((tdata).*Tr).^(g)).*(2*cos(0.5*pi*g) + l2*(((tdata).*Tr).^(g))))) + ((E0*o*(((tdata).*Tr).^(al+bta)).*(cos(0.5*pi*(al+bta)) + l3*cos(0.5*pi*bta)*(((tdata).*Tr).^(al)) + (((tdata).*Tr).^(al+bta))))./(1 + (((tdata).*Tr).^(al)).*(2*l3*cos(0.5*pi*al) + 2*cos(0.5*pi*(al+bta)*(((tdata).*Tr).^(bta))) + (((tdata).*Tr).^(al)).*(l3^2 + 2*l3*cos(0.5*pi*bta)*(((tdata).*Tr).^(bta)) + (((tdata).*Tr).^(2*bta)))))));
EI = (((l1.*(((tdata).*Tr).^(g+p)).*(sin(0.5*pi*(g+p)) + l2*sin(0.5*pi*p)).*(((tdata).*Tr).^(g)))./(1 + l2*(((tdata).*Tr).^(g)).*(2*cos(0.5*pi*g) + l2*(((tdata).*Tr).^(g))))) + ((E0*o*(((tdata).*Tr).^(al+bta)).*(sin(0.5*pi*(al+bta)) + l3*sin(0.5*pi*bta)*(((tdata).*Tr).^(al))))./(1 + (((tdata).*Tr).^(al)).*(2*l3*cos(0.5*pi*al) + 2*cos(0.5*pi*(al+bta))*(((tdata).*Tr).^(bta)) + (((tdata).*Tr).^(al)).*(l3^2 + 2*l3*cos(0.5*pi*bta).*(((tdata).*Tr).^(bta)) + (((tdata).*Tr).^(2*bta)))))));
% gs = ((E0*o*(((tdata).*Tr).^(al+bta)).*(sin(0.5*pi*(al+bta)) + l3*sin(0.5*pi*bta)*(((tdata).*Tr).^(al))).*(1 + l2*(((tdata).*Tr).^(g)).*(2*cos(0.5*pi*g) + l2*(((tdata).*Tr).^(g)))) + l1*(((tdata).*Tr).^(g+p)).*(sin(0.5*pi*(g+p)) + l2*sin(0.5*pi*p)*(((tdata).*Tr).^(g))).*(1 + (((tdata).*Tr).^(al)).*(2*l3*cos(0.5*pi*al) + 2*cos(0.5*pi*(al+bta))*(((tdata).*Tr).^(bta))) + (((tdata).*Tr).^(2*al)).*(l3^2 + 2*l3*cos(0.5*pi*bta).*(((tdata).*Tr).^(bta)) + (((tdata).*Tr).^(2*bta)))))./(E0*(1 + l2*(((tdata).*Tr).^(g)).*(2*cos(0.5*pi*g) + l2*(((tdata).*Tr).^(g)))).*(1 + (1+o)*(((tdata).*Tr).^(2*al + 2*bta)) + l3*(((tdata).*Tr).^(al)).*(2*cos(0.5*pi*al) + l3*(((tdata).*Tr).^(al))) + (2+o)*(((tdata).*Tr).^(al+bta)).*(cos(0.5*pi*(al+bta)) + l3*cos(0.5*pi*bta)*(((tdata).*Tr).^(al)))) + l1*(((tdata).*Tr).^(g+p)).*(cos(0.5*pi*(g+p)) + l2*cos(0.5*pi*p)*(((tdata).*Tr).^(g))).*(1 + 2*l3*cos(0.5*pi*al)*(((tdata).*Tr).^(al)) + 2*cos(0.5*pi*(al+bta))*(((tdata).*Tr).^(al+bta)) + (((tdata).*Tr).^(2*al)).*(l3^2 + 2*l3*cos(0.5*pi*bta)*(((tdata).*Tr).^(bta)) + (((tdata).*Tr).^(2*bta))))));
gs = EI./ER;
sm_exp = ydata(1,:);
lm_exp = ydata(2,:);
lf_exp = ydata(3,:);
E = gs.*sm_exp - lm_exp;
%E = sum((gs.*sm_exp - lm_exp).^2);
%ya = EI./ER;
%clf;
%loglog(sm_exp,lf_exp,'*');
%hold on;
%loglog(sm_exp,ya,"r");
%drawnow;
end
7 Comments
Torsten
on 17 Jan 2024
You can do that by yourself. Use MATLAB online if your MATLAB supplies a different or no solution.
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