Re: Curve fitting (was Re: Python Plugins)



[snip]
Can I do most of the work on my own and just come one day and say "here it
is"?
I envision this having 2 parts
1) writing the fitter of your dreams
2) Looking at the interfaces for the current fitter and your fitter
   and seeing if we can generalize the requirements so that future
   work can be done in plugins.

Sounds good.

[snip]
About the GPL:
The algorithms I need are well-known.  Much of the code I need is already
in the public domain  (_Numerical_Recipes_).  Is there any problem using
public-domain code in GPL code?
This is trickier.  I don't know what the licensing for code from
numeric recipes is.  We'd better have a look before commiting any of
it.  Which of their routines would you like to use ?  There is
already a fair amount of simple linear algebra code in place (from R
and other places).

I want to use LU-decomposition.

I think I'll also use the "Iterative Improvement" section.  However, this
concept is so simple that there can't be any issues using it (it's
first-year of college math).

I am currently prototyping my code in Python.  Eventually I'll port it to
C.

Cheers,
Daniel.




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