Franck, One possibility is to use A.mmult(C,B,V) where B is an IdentityMatrix. Another way is to create an IdentityMatrix B, modify its entries suitably and use A.mmult(C,B). A third approach would be to just write the the scaling yourself.
Best, Daniel Am Sonntag, 18. September 2016 18:01:17 UTC+2 schrieb franck75: > > I am having a SparseMatrix A which has a certain sparsity pattern and a > vector V. > > How to perform the matrix multiplication > > A*diag(V) > > where diag(V) is a diagonal matrix with the vector V in the main diagonal. > > is there any such function in dealii? > > how to create the SparseMatrix diag(V) for a given vector V? > > to my knowledge dealii on provided > > A.mmult(C,B,V) for C= A*diag(V)*B or > > A.mmult(C,B) for C= A*B > > Cheers > -- The deal.II project is located at http://www.dealii.org/ For mailing list/forum options, see https://groups.google.com/d/forum/dealii?hl=en --- You received this message because you are subscribed to the Google Groups "deal.II User Group" group. To unsubscribe from this group and stop receiving emails from it, send an email to dealii+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
