[Numpy-discussion] adaptive interpolation on a regular 2d grid
Robert Kern
robert.kern at gmail.com
Wed Sep 2 12:38:27 EDT 2009
On Wed, Sep 2, 2009 at 11:33, denis bzowy<denis-bz-py at t-online.de> wrote:
> Robert Kern <robert.kern <at> gmail.com> writes:
>
>> Looks good! Where can we get the code? Can this be specialized for 1D
> functions?
>
>
>
> Re code: sure, I'll be happy to post it if anyone points me to a real test
> case or two, to help me understand the envelope -- 100^2 -> 500^2 grid ?
> (Splines on regular grids are fast and robust, hard to beat.)
>
> Re 1d: I have an old version using 2 point - 2 slope splines, overkill,
> will trim it.
>
> (Is there a sandbox or wiki of interpolation testcases, not images ?)
I have some test cases here:
http://svn.scipy.org/svn/scikits/trunk/delaunay/scikits/delaunay/testfuncs.py
They are meant to test scattered data interpolation. They aren't going
to exercise your adaptive interpolation very hard.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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