[Help-gsl] Passing data to multidim minimization routines

[Michael Braun]

I'm hoping that someone on this discussion list can point me in the right 
direction with an issue I am having using the multidimensional minimization 
routines.  My objective function is a function of both parameters for which I 
need to find optimizing values, as well as "data" that does not change (similar 
to maximum likelihood estimation for a dataset).  The gsl documentation is 
clear about how to write the objective and gradient functions when the only 
parameters are those that are modified by the optimization algorithm, but I 
cannot find a reference or example about how to pass additional parameters or 
data to that function through the optimizer.

Thanks in advance for any help you can provide.

Best wishes,

Michael Braun
MIT Sloan School of Management
address@hidden