[SciPy-user] Constrained least-squares fitting routine?
Sat May 2 07:38:28 CDT 2009
On Fri, May 1, 2009 at 23:43, william ratcliff
> Some time back, there was a python port of mpfit, using Numeric. I talked
> to that author and he is happy with a BSD license. Since, several people
> have patched it to use numpy (see http://code.google.com/p/astrolibpy/) and
> the author there is happy with a BSD license--though there is room for
> cosmetic improvement. Does anyone know the original license for minpack?
> I plan to talk to the author of mpfit next week and see if he is amenable to
> a BSD license. If so, would this fit into numpy? It takes care of the
> annoyance of making a wrapper to leastsq for the simple case of fixed
> parameters and has an ansatz for deaing with limits. It relies on a qr
> factorization, but we could either switch out the python chunks of code
> which do that for their minpack equivalents, or use the Numerical Recipes
> suggestion (not the code!!!!) to use SVD instead of QR--but as a stop-gap,
> could one of the developers tell me if we do manage to get BSD licensing
> agreements, can this go into scipy, or do we have to implement from scratch?
It can go into scipy.
> Also, for the BSD agreements, are emails sufficient, or do I need to try to
> get faxes?
Emails are sufficient. Try to get a clear, full statement (e.g. "I
release SuchAndSuch under the BSD license.") rather than something
like "Sure." :-)
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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