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 [EMAIL PROTECTED] _______________________________________________ Help-gsl mailing list Help-gsl@gnu.org http://lists.gnu.org/mailman/listinfo/help-gsl