[SciPy-user] Converting dense into sparse matrices is slow
nwagner at mecha.uni-stuttgart.de
Fri Mar 17 06:45:17 CST 2006
AFAIK linalg.kron only works with dense matrices.
It would be nice if kron can handle sparse matrices as well.
The example (bao.py) takes a lot of time
Kronecker product (sec): 6.28
Dense to sparse (sec): 70.09
Number of nonzero elements 16129
If one uses a dense matrix there are 16777216 entries.
Anyway, is it possible to accelerate some operations (especially
csr_matrix()) in bao.py ?
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