[SciPy-user] coo_matrix, lapack, cvxopt
Tue Mar 24 08:07:16 CDT 2009
Nathan Bell <wnbell <at> gmail.com> writes:
> > 2) I need to solve large sparse rectangular matrix equation
which doesn't have
> > full rank, but is solvable. spsolve (dsolve) doesn't work.
Can I do my own LUP
> > decomposition using scipy.sparse?
> I believe the UMFPACK scikit supports that functionality.
fyi, and in case anyone else has a problem like this, I just tried
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!
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