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Problem with optimizing a function which has indirect variables (variables are a set of data that is generated with the help of another function)

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I desperately need to find a way to solve this for my work ,
i have a certain function which calculates the fit of my chosen parameters, i have to find the parameters which gives the min possible fit value
above is the fit function R(Tn) and I(Tn) is the true data Rn^(k) and In^(k) are the variables .
Rn^(k) and In^(k) are generated from another function which is as follows
if true
function [Z, phase] = modelMT(resistivities, thicknesses,frequency)
% code
end
Rn^(k) - real(Z);
In^(k) - imag(Z);
it takes set of resistivities and thicknesses , i need to choose these values for which i get the min of fit function .

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