I want to fit data in matlab program by using Lorentz equation to find decay time of superconducting flux qubit.How i can fit data in matlab.
But I recommend you fitting in scripts. Tryout code like that:
start = [a, b, c, d];
low = [0 x(1) 0.5*diff(x(1:2)) min(y)-0.3*a];
upp = [2*a x(end) x(end)-x(1) mx];
optionsforfit = fitoptions('Method', 'NonlinearLeastSquares','Lower',low, ...
'Startpoint', start, 'Upper', upp);
typeoffit = fittype('a*exp(-(x-b)^2/c^2) + d', 'options', optionsforfit);
fitobject=fit(x,y,typeoffit);
I am attaching you my function, for gauss fitting. You will easily realize how to replace it for lorentz.
fitobject is an object of class "cfit". It has a several build in methods. Such as 'plot' or 'coeffvalues' for fit parameters.
curve fitting toolbox in matlab with trust region algorithm may be very simple and good.
Origin 6.5 ,or 07 , or 08 version, if you know how to use, shoud be very good.
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