From: Max Weinberg (maximilian.weinberg_at_[hidden])
Date: 2007-07-18 07:40:34
There are some missing features with gvov. When I last looked at it, which is
already quite a while ago: There was no push_back, which would enable fast
sequential construction of sparse matrices. If the outer vector was sparse, it
was ignored, so the outer dimension is handled like a full vector (a similar
bug is present for the other sparse matrix types). Transpose did not work for
gvov.
I apologize if any of that is not true anymore. In general, gvov can easily be
the fastest of the sparse matrix types, if access is done primarily along one
dimension.
Greetings,
Max