[Numpy-discussion] some work on arpack

David Grant davidgrant at gmail.com
Wed Aug 16 10:08:16 CDT 2006

On 8/16/06, Nils Wagner <nwagner at iam.uni-stuttgart.de> wrote:
> Keith Goodman wrote:
> > On 8/15/06, David Grant <davidgrant at gmail.com> wrote:
> >
> >
> >> My idea is (if I have time) to write an eigs-like function in python
> >> that will only perform a subset of what Matlab's eigs does for. It
> >> will, for example, compute a certain number of eigenvalues and
> >> eigenvectors for a real, sparse, symmetric matrix (the case I'm
> >> interested in)
> >>
> >
> >
> AFAIK, pysparse (in the sandbox) includes a module that implements a
> Jacobi-Davidson
> eigenvalue solver for the symmetric, generalised matrix eigenvalue
> problem (JDSYM).
> Did someone test pysparse ?
> I did try pysparse a few years ago (I think right before sparse stuff came
into scipy). I think there is probably an old post asking the list about
sparse stuff and I think Travis had just written it and told me about it...
can't remember. Can JDSYM just return the k lowest eigenvalues/eigenvectors?

David Grant
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://projects.scipy.org/pipermail/numpy-discussion/attachments/20060816/c48a2491/attachment.html 

More information about the Numpy-discussion mailing list