I am trying to fit two data sets to a function model described below which share a few common parameters. Say I have two functions with some common parameter(s)
f[x,y]:= aExp[-x]Sin[b*y] + c g[x,y]:= dExp[-x]Sin[b*y] + c
I generated two model data sets using a functional form similar to the ones above and tried to fit the data using NonlinearModelFit. But NonlinearModelFit fails to converge within the prescribed iterations and confidence interval.
I tried checking the threads (http://mathematica.stackexchange.com/questions/15905/combined-fitting-via-nonlinearmodelfit or http://forums.wolfram.com/mathgroup/archive/2011/Sep/msg00555.html or http://community.wolfram.com/groups/-/m/t/135933) on similar discussions but could not solve my problem. Any suggestions would be welcome.
Thanks in advance.
Arijit.