[SciPy-user] sparse matrix eigenvector/value solver
Fri Jan 30 10:24:54 CST 2009
On Fri, Jan 30, 2009 at 11:18 AM, christopher taylor
> With a little greping, I found it!
> Look in scipy/sparse/linalg/eigen/arpack/speigs.py
> There's a function, ARPACK_eigs that returns eigenvals and eigenvecs.
> On Fri, Jan 30, 2009 at 11:05 AM, <firstname.lastname@example.org> wrote:
>> On Fri, Jan 30, 2009 at 10:37 AM, christopher taylor
>> <email@example.com> wrote:
>>> I've been reading through scipy.sparse.* for some way to solve for
>>> eigenvectors and values without much success. I found a PySparse
>>> library which seems to have a solution that I'm looking for- any
>>> recommendations? Is this something I can do in the scope of scipy or
>>> should I look into this PySparse library?
>>> As an aside, the sparse matrices I'm working with are *huge*.
>> Did you look at scipy\sparse\linalg\eigen\arpack\tests\test_speigs.py ?
>> I think this got recently added to scipy, but I didn't see any
>> reference to it in the docs.
>> SciPy-user mailing list
> SciPy-user mailing list
arpack is not imported in
and is not included in the docs, links and automodule are missing.
Currently it has to be imported directly
importing only import scipy.sparse.linalg.eigen does not expose/load arpack
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