[SciPy-user] Constrained least-squares fitting routine?
Sat May 2 17:41:05 CDT 2009
Be careful with the version on cars that is using Numeric--at least when I
used it with just trying to swap numpy to numeric, I found that there was a
glitch in fixed parameters. That is fixed in the version at astrolibpy.
On Sat, May 2, 2009 at 5:39 PM, Adam Ginsburg <firstname.lastname@example.org>wrote:
> Thanks for the replies.
> Re: Rob - You're right that it's not a simple problem to solve, but
> I'm pretty sure other people have solved it and I was hoping for a
> solution that was already implemented. However, your response gives
> me some insight into how to deal with the problem. Thanks.
> Re: Alan - That looks potentially very useful, but OpenOpt looks to be
> in pretty early stages of development, especially in terms of
> documentation. Is there any chance OpenOpt code will be included in
> scipy in the (near) future?
> Re: William - Good call on mpfit.py. Somehow my google searches
> completely missed it, but once you pointed it out I realized I already
> had the astrolibpy code. mpfit.py is also at
> http://cars9.uchicago.edu/software/python/mpfit.html... and even
> though it's not explicitly compatible with numpy, I haven't run into
> any problems using that version either.
> Thanks all! I think I have my solution, though I hope mpfit or some
> variant will be included in scipy in the future.
> SciPy-user mailing list
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