24 Apr
2009
24 Apr
'09
6:54 p.m.
2009/4/24 Stéfan van der Walt <stefan@sun.ac.za>:
2009/4/24 David Warde-Farley <dwf@cs.toronto.edu>:
Hmm, I thought that sparse SVD was provided by ARPACK, already included in SciPy, and it was just a matter of writing the wrappers. Is that still the case, or is SVDPACK for some reason a substantially easier route/is SVDPACK better or more featureful?
Michael Berry also wrote: """ Our codes are engineered to compute extremal singular values and singular vectors. If ARPACK can approximate the entire spectrum, you might want to go with those routines. """ Stéfan