How to do curve fitting to a custom function with 7 fitting parameters?

Hi:)

I have 11 sets of measured data (x:Delta_n, y:Tau_base) for different temperatures, I want to fit them using an custom function 'Seff_model1_temp3' (y: TauEff and x: Delta_n). I have 7 fitting parameters (see highlighted part in the code).

By varing temperature (T), I want to fit all 11 sets of data using same fitting paramters.

Can someone help me with the fitting? prefer to use nonlinear least squares. I want to set the upper and lower limit for each fitting parameters as well!

Thanks in advance!!!!

[Star Strider]

You will have to code the objective function yourself. See Anonymous Functions for one way to do that.

Also see the documentation for the optimisation function you want to use, so you can write the function correctly for it.

Answer 1

[Alan Weiss]

There are examples related to this in Nonlinear Data-Fitting and possibly Fit an ODE.

Alan Weiss

MATLAB mathematical toolbox documentation