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.


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

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