Nonlinear Data-Fitting

Hello everyone!

Does anybody know how to fit nonlinear Data, like in this case? Is it possible with lsqcurvefit? Thank you!

Answer 1

[Torsten]

% Prescribe arrays
K = ...;
X = ...;
L = ...;
Y = ...;
% Define function
fun = @(a,b,c,d,h) K.*log(a./(a-X)) + K/b.*log(X/c) + (d+L*h).*X - Y;
% Define initial values for a,b,c,d,h
a0 = ...;
b0 = ...;
c0 = ...;
d0 = ...;
h0 = ...;
% Call the optimizer
p = lsqnonlin(@(p)fun(p(1),p(2),p(3),p(4),p(5)),[a0,b0,c0,d0,h0]);
% Output fit parameters
a = p(1)
b = p(2)
c = p(3)
d = p(4)
h = p(5)

[Anna B.]

thank you very much!

Answer 2

[M Mirrashid]

https://ch.mathworks.com/matlabcentral/fileexchange/112600-transit-search-optimization-algorithm-matlab-codes