** Changed in: dolfin
Status: Fix Committed => Fix Released
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https://bugs.launchpad.net/bugs/706909
Title:
[python] matrix multiplication fails in parallel
Status in DOLFIN:
Fix Released
Bug description:
The python code for __mul__() assumes an empty vector suitable for
mult() can be created from just the dimensions of the matrix:
if type(other) == Vector:
ret = Vector(self.size(0))
This is not true in parallel. And it won't help to copy the input
vector, as that only works for square matrices.
How to create a vector which is compatible with a given matrix at this
point (only the matrix available, not the sparsity pattern)? Would it
perhaps be acceptable to add methods create_right_vector(),
create_left_vector() to GenericMatrix?
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