[SciPy-user] coo_matrix, lapack, cvxopt

[Eric Friedman]

Hi, a couple of questions:

1) how do I look inside a coo_matrix -- I'd like to extract the i,j, data?


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?

3) How does lapack compare to umfpack? (I'm thinking about using cvxopt which
has lapack.)  Also more generally, how does cvxopt's sparse routines do compared
to scipy?

thanks,
Eric