Hi, I am wondering whether (and how) it is possible to use the least-squares fitting, or alternatively minimization functions of gsl with constrained parameters. What I mean with this is that I want to force the function into the correct local minimum by supplying information which parameter values are physically meaningful for these particular data, or which of two degenerate minima I would like (to be able to compare different fits). For example, if the function is the sum of two exponentials, I would like to perform a least-squares fit to some data with the constrain that the first of them has the shorter relaxation time.
Is this possible, and how would that be implemented? TIA, Frank -- Frank Küster Inst. f. Biochemie der Univ. Zürich Debian Developer _______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
