[SciPy-user] scipy.interpolate.Rbf() MemoryError for more than 4000 (x, y) pairs ?

josef.pktd@gmai... josef.pktd@gmai...
Fri Apr 3 12:05:35 CDT 2009

On Fri, Apr 3, 2009 at 12:39 PM, Pauli Virtanen <pav@iki.fi> wrote:
> Fri, 03 Apr 2009 12:22:26 -0400, josef.pktd kirjoitti:
> [clip]
>> Besides the memory error, I don't think rbf can do this, rbf uses all
>> points to do the interpolation, the kernel is number of observation
>> squared. In some examples, that I tried, if the number of points is to
>> large, then you don't get a smooth solution, the interpolation has too
>> much variation (like fitting a very high order polynomial).
> Btw, the different Rbf functions (thin-plate, linear, etc.) seem to
> behave slightly differently in how stably they can fit many points. I'd
> imagine why this happens is answered somewhere in the literature...

I had only tried and looked at the code for gaussian and multiquadratic.
linear and thin-plate work in my example, but according to the
comments 'thin-plate' is the first that has a memory error.

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