Max Belushkin writes: > It's a standard chi squared of a model function (which is quite > complicated, but only has 9 parameters for the problem in this post). > The function itself is, technically, a sum of "a/(b+x)" functions. The > chi squared is computed in the standard way based on this function, the > data, and the errors of the data. To the fit, chi squared is being fed, > the gradient is computed numerically in each parameter.
Hello, Did you try the gsl_multifit functions? If it's a least-squares problem they will work much better than multimin. -- Brian Gough Network Theory Ltd, Publishing the GSL Manual --- http://www.network-theory.co.uk/gsl/manual/ _______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
