How to minimize a nonlinear function?
24 views (last 30 days)
Show older comments
Rafael Zanetti
on 12 Nov 2020
Answered: Star Strider
on 12 Nov 2020
Hi everyone, I heve tried to solve a nonlinear equation in matlab where x0 = [0;1;2] is the initial value for search

So I wrote a function :
function f = myfun(x)
f = (1./(1+(x1-x2).^2)) + sin.*(0.5*pi.*x2.*x3) + exp(((-x1+x)./x2)-2).^2)
end
Then:
x1 = 0; x2 = 1; x3 = 2; x0 = [x1;x2;x3];
options = optimoptions('fsolve','Display','iter');
[x,fval] = fsolve(@myfun,x0,options)
... But the following error appears:
"Caused by:
Failure in initial objective function evaluation. FSOLVE cannot continue."
How can i fix that.
I thank you.
0 Comments
Accepted Answer
Ameer Hamza
on 12 Nov 2020
Edited: Ameer Hamza
on 12 Nov 2020
There are issues with the definition of 'myfun'. Compare it with the following to see the errors.
function f = myfun(x)
x1 = x(1);
x2 = x(2);
x3 = x(3);
f = (1./(1+(x1-x2).^2)) + sin(0.5*pi.*x2.*x3) + exp(((-x1+x)./x2)-2).^2;
end
0 Comments
More Answers (1)
Star Strider
on 12 Nov 2020
It took a bit to correct the parentheses problems in ‘myfun’.
With that solved:
myfun = @(x1,x2,x3) (1./(1+(x1-x2).^2)) + sin(0.5*pi.*x2.*x3) + exp((-(x1+x3)./x2-2).^2);
options = optimoptions('fsolve','Display','iter')
x1 = 0; x2 = 1; x3 = 2; x0 = [x1;x2;x3];
[x,fval] = fsolve(@(p)myfun(p(1),p(2),p(3)),x0,options)
produces:
x =
-0.823049966296178
1.775543504609500
1.177574125107562
fval =
1.262730886088113e+02
.
.
0 Comments
See Also
Categories
Find more on Nonlinear Optimization in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!