[SciPy-dev] Sparse SVD in SciPy -- SVDPACK[C] made available
Stéfan van der Walt
stefan at sun.ac.za
Fri Apr 24 01:00:52 EDT 2009
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.
Regards
Stéfan
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