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[Help-gsl] least-squares fitting or minimization with constrained parame


From: Frank Küster
Subject: [Help-gsl] least-squares fitting or minimization with constrained parameters
Date: Fri, 09 Dec 2005 10:04:14 +0100
User-agent: Gnus/5.1007 (Gnus v5.10.7) Emacs/21.4 (gnu/linux)

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





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