[PYTHON MATRIX-SIG] Compact Representation?

[Marko Balabanovic]

I'm kind of an amateur at linear algebra, so this may be a stupid
question:

Is there already, or are there any plans to include, a compact
representation for sparse or symmetric matrices in Numeric Python
(possibly with interfaces to the LAPACK/CLAPACK routines which work
with a packed representation for symmetric matrices).

I have an approx. 10,000 x 10,000 symmetric matrix, all values are 1
or 0, and I need to get the first couple of eigenvectors.  If anyone
has any pointers to code that would help do this without needing to
construct the whole thing in memory at once I would be very grateful.

Marko



.Marko Balabanovic.......Department of Computer Science....................
.Stanford University     Email: marko@cs.stanford.edu   Office: Gates 132 .
.Gates Building 1A       Phone: 415 725 8783            Fax: 415 725 1449 .
.Stanford CA 94305-9010  Url:   http://robotics.stanford.edu/people/marko .
.USA.......................................................................

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