On Dec 6, 2007 10:50 PM, Joshua Kantor <[EMAIL PROTECTED]> wrote:
>
> I would be interested in helping with a PDE toolbox. I didn't want to
> work on it alone as I'm pretty sure I'd make some stupid design
> choices. It would be nice to start some work on PDE functionality in
> SAGE.
[...]
> > > Spline_Toolbox
> >
> > I may actually tackle this very soon. The easiest thing to
> > do is use f2py to generate a interface to the spline code
> > from the SLATEC library. The SLATEC spline code is based
> > upon deBoor's work and so is the Spline toolbox. This works
> > as a solution until the spline code can be re-written or
> > expanded.
You might want to have a look at the scipy sandbox. There's both a
multigrid and a spline package in there, in need of love and care. In
addition, the scipy.interpolate package (not in the sandbox, but in
the mainline) has had a FITPACK interface for basic splines for a long
time:
"""
Interpolation Tools
===================
Wrappers around FITPACK functions:
splrep -- find smoothing spline given (x,y) points on curve.
splprep -- find smoothing spline given parametrically defined curve.
splev -- evaluate the spline or its derivatives.
splint -- compute definite integral of a spline.
sproot -- find the roots of a cubic spline.
spalde -- compute all derivatives of a spline at given points.
bisplrep -- find bivariate smoothing spline representation.
bisplev -- evaluate bivariate smoothing spline.
UnivariateSpline -- A more recent, object-oriented wrapper;
finds a (possibly smoothed) interpolating
spline.
InterpolatedUnivariateSpline
LSQUnivariateSpline
BivariateSpline -- A more recent, object-oriented wrapper;
finds a interpolating spline for a
bivariate function.
"""
I have no idea of the state of spline/multigrid in the sandbox, but
they'd certainly be welcome contributions, and you'd probably find
others interested in helping in the scipy lists.
Cheers,
f
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