[SciPy-user] coo_matrix, lapack, cvxopt
Tue Mar 24 08:56:15 CDT 2009
On Tue, 24 Mar 2009 13:07:16 +0000 (UTC)
Eric Friedman <firstname.lastname@example.org> wrote:
> Nathan Bell <wnbell <at> gmail.com> writes:
>> > 2) I need to solve large sparse rectangular matrix
> which doesn't have
>> > full rank, but is solvable. spsolve (dsolve) doesn't
> Can I do my own LUP
>> > decomposition using scipy.sparse?
>> I believe the UMFPACK scikit supports that
> Thanks again!
> fyi, and in case anyone else has a problem like this, I
> sparse.linalg.cg which seems to work
> (most of the time...but I'm trying to
> figure that out...) and is very fast and doesn't
> care about singular matrices!
A symmetric positive definite matrix is required in case
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