[SciPy-user] Constrained least-squares fitting routine?

[william ratcliff]

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.


William

On Sat, May 2, 2009 at 5:39 PM, Adam Ginsburg <adam.ginsburg at colorado.edu>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.
>
> Adam
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