[SciPy-dev] Sparse SVD in SciPy -- SVDPACK[C] made available
Fri Apr 24 00:31:01 CDT 2009
This is fantastic! I definitely vote for the C version and a cython wrapper.
2009/4/23 Stéfan van der Walt <firstname.lastname@example.org>:
> Hi all,
> Michael Berry has kindly agreed to relicense SVDPACK or SVDPACKC for
> use in SciPy.
> >From http://www.netlib.org/svdpack/:
> SVDPACK comprises four numerical (iterative) methods for computing the
> singular value decomposition (SVD) of large sparse matrices using
> double precision ANSI Fortran-77. A compatible ANSI-C version
> (SVDPACKC) is also available. This software package implements Lanczos
> and subspace iteration-based methods for determining several of the
> largest singular triplets (singular values and corresponding left- and
> right-singular vectors) for large sparse matrices.
> He asked that we let him know whether we'd like to use the Fortran or
> the C version. Which would best suit SciPy? I have a tendency to
> prefer SVDPACKC, since we can reach it easily via Cython.
> I'd appreciate your feedback.
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