Hi, I would like to use the functions defined in "gsl_multifit_nlin.h" to solve nonlinear least-squares and general nonlinear minimization problems. However, I do not see a way to impose constraints (simple bounds) on the model parameters (independent variables). This is particularly important in problems where one or more model parameters must always be positive, or if a weight parameter must always be between 0 and 1. How can this problem be addressed in the current version of GSL?
Also, for those of you familiar with the PORT Library <http://www.bell-labs.com/project/PORT>, how does GSL's nonlinear solver compare to the PORT versions in terms of robustness? I am specifically referring to the PORT routines DN2FB and DN2GB, which were based on NL2SOL, an adaptive nonlinear least-squares algorithm (ACM TOMS Algorithm 573). Thanks! Eskandar ____________________________________________________________________________________ Need a vacation? Get great deals to amazing places on Yahoo! Travel. http://travel.yahoo.com/ _______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
