Hi, I am new to GSL and I want to use non-linear least-square fitting to fit a data set with 2000 data points. The function has 14 parameters in total. I tried using gsl_multifit_nlinear_driver () to solve the problem.
It works nice but I want the parameters to be in certain range: x_min <= xpar <= x_max. How to fix the lower and upper bounds (Or I missed something in the gsl-2.5 documentation!). Some of the parameters in my model don't have any physical meaning if not bounded. I have another question as well!. I want to do a multi-objective optimization using GSL-2.5 but I couldn't locate any routine in the documentation. I have 40 data set having 2000 points each and I need to obtain 14 parameters (Global minimum). with kind regards, Brijesh
