I don't have a link, but using the example in the manual, in the exp_f()
function, you could check if the parameters are in a certain range and
if not, add a large value to the corresponding residual, say 1000.0.
Alternatively, the GPL levmar library
(http://users.ics.forth.gr/~lourakis/levmar) contains direct support for
constrained nonlinear least squares optimization.
Patrick
On 06/30/2014 12:10 PM, Eduardo N. Hering wrote:
Thanks for your answer, Patrick.
Can you send me a link with an example on where the
penalty function should be called, and which format
should it have?
Thanks a lot.
Eduardo.
On 30 Jun 2014, at 18:59, Patrick Alken <[email protected]> wrote:
This is not currently possible in GSL, unless you check the parameter values
yourself and increase the penalty function accordingly.
On 06/24/2014 11:03 AM, Eduardo N Hering wrote:
Hello.
Is it possible to constrain parameters in nonlinear least-squares fitting?
Thanks for your attention,
E.N.Hering, D.Sc.
[email protected]
http://www.enhering.com
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