[SciPy-User] forcing curve fit

[Yuxiang Wang]

Hi Matt,

Thank you for the great contribution! I have a quick question - does
lmfit scale the parameters by its initial values? For example, a
parameter maybe on the order of 1e-13, and during the fit we would
like to scale that number to 1 so it is easier to converge to an
optimum.

-Shawn

On Fri, May 9, 2014 at 8:37 PM, Matt Newville
<newville at cars.uchicago.edu> wrote:
> Hi Thoger,
>
>
> On Fri, May 9, 2014 at 4:02 PM, Thøger Emil Rivera-Thorsen
> <trive at astro.su.se> wrote:
>>
>> Matt, are you the aothor of lmfit?
>> I am using it for a project I am working on at the moment and am very
>> happy with it.
>>
>
> I am, or I think I'm the main author.   There have been many contributions,
> especially from Till Stensitzki (who may have written more code than I), but
> several others as well, and it is certainly built on many previous works
> (ie, scipy.optimize).  I think such a high level wrapping of scipy.optimize
> addresses the common needs of fitting experimental data (such as adding
> bounds and "frozen" parameters)  is needed, and believe that may people
> using curve_fit() would find it useful.
>
> But I also feel somewhat detached from this. It's one of several
> side-projects somewhat related to my main research and responsibilities.
> One might view it as essentially a "scikit", and if so I might be able to
> kid myself that this was giving something of value back to the scipy
> ecosystem.  I know that's not true, but I will support lmfit to the best of
> my abilities for the foreseeable future.  Then again, I feel no ownership of
> it, and if someone is interested in contributing or taking over, I'd be
> happy to help and encourage as much as I can.
>
> Anyway, I'm very glad to hear you're happy with it.
>
> --Matt Newville
>
>
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-- 
Yuxiang "Shawn" Wang
Gerling Research Lab
University of Virginia
yw5aj at virginia.edu
+1 (434) 284-0836
https://sites.google.com/a/virginia.edu/yw5aj/