[SciPy-dev] Compiling pysparse from the sandbox

[Nils Wagner]

Robert Cimrman wrote:
> Nathan Bell wrote:
>   
>> Just out of curiosity, is there important functionality that PySparse
>> offers that's not currently available in SciPy?  From what I can tell,
>> PySparse has a few preconditioners and an eigensolver, in addition to
>> what SciPy also has.
>>
>> Is there an interest in including these or any other sparse features in SciPy?
>>
>> I have some Algebraic Multigrid code (AMG) that I've been working on
>> for a while.  I've implemented the so-called "classical" AMG of Ruge &
>> Stuben and also Smoothed Aggregation as described in by Vanek et. al.
>>
>> Would others be interested in using AMG in SciPy?  For those not
>> familiar with AMG, or multigrid in general - multigrid can solve
>> linear systems that arise in certain elliptic PDEs (e.g. Poisson
>> equations, heat diffusion, linear elasticity, etc) in optimal time.
>> Furthermore, the AMG methods mentioned above are "black box" in the
>> sense that only the matrix needs to be provided to the solver - so no
>> knowledge of the mesh geometry is necessary.
>>     
>
> I'd love to see an AMG implementation in SciPy!
>
> r.
>   
+1

Nils

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