optimization for nonlinear equation using fminunc
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FATHIMA JAMSHEENA P
am 10 Jul. 2023
Bearbeitet: Torsten
am 10 Jul. 2023
i have an equation
. i have to do optimization for this to get unknown parameters z a and b.
,
and
are matrixes of size 364x441.after getting z a and b i have to put those values in above equation to get estimated LHS. how to do this using fminunc funtion in matlab
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1431043/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1431048/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1431053/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1431058/image.png)
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Torsten
am 10 Jul. 2023
Bearbeitet: Torsten
am 10 Jul. 2023
x0 = [1 1 1];
fun = @(x) x(1)*dsdt + x(2)*s.^x(3);
f = @(x) sum(sum((fun(x) - p).^2));
x = fminsearch(f,x0)
lhs = fun(x)
5 Kommentare
Torsten
am 10 Jul. 2023
Bearbeitet: Torsten
am 10 Jul. 2023
s = load("s.mat");
s = s.s;
s = s(:);
size(s)
idx = s > 0;
s = s(idx);
size(s)
dsdt = load("dsdt.mat");
dsdt = dsdt.dsdt;
dsdt = dsdt(:);
dsdt = dsdt(idx);
p = load("p.mat");
p = p.p;
p = p(:);
p = p(idx);
x0 = [1 1 1];
fun = @(x) x(1)*dsdt + x(2)*s.^x(3);
f = @(x) sum((fun(x) - p).^2);
x = fminsearch(f,x0,optimset('MaxFunEvals',10000,'MaxIter',10000,'Display','iter'))
f(x)
lhs = fun(x)
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