Non linear regression: Matlab function similar to Excel solver ???

Hi,

I am having experimental data values i.e (Actual data & modelled data)

I want to match modelled data to my actual data.

Modelled data is function of a variable 'P'

Value of 'P' comes from 2D map. Ultimate goal is to obtain optimized 2D map.

I know to optimize this data in Excel solver where it uses GRG non linear function.

How to carryout this in MATLAB?

Answer 1

[the cyclist]

This very old question/answer from the Mathworks Support Team indicates that there is no MATLAB function for the generalized reduced gradient method, and suggests fmincon from the Optimization Toolbox as an alternative.

Answer 2

[Sulaymon Eshkabilov]

MATLAB's fitnlm() builtin function works for nonlinear regression analysis in your exercise you can use it. See this help documentation how to employ fitnlm(): https://www.mathworks.com/help/stats/nonlinear-regression-1.html