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On Fri, Apr 01, 2011 at 11:43:19PM +0200, Joachim Berdal Haga wrote: > Today seems like a good day to announce the cbc.block project -- Block > operators for DOLFIN (in Python). Some of you attended my presentation > earlier this year and know this work already (although it is now in a > much better state). For everyone else, a short description: > > - Block operators may be defined from standard DOLFIN matrices and vectors > A = assemble(...); B = assemble(...); # etc > AA = block_mat([[A,B], [C,D]]) > > - Preconditioners, inverses, and inner solvers are supported > AAprec = AA.scheme('gauss-seidel', inverse=ML) > > - A good selection of iterative solvers > AAinv = SymmLQ(AA, precond=AAprec) > x = AAinv*b > > - Matrix algebra is supported both through composition of operators... > S = C*ILU(A)*B-D > Spre = ConjGrad(S) > > ...and through explicit matrix calculation via PyTrilinos > S = C*InvDiag(A)*B-D > Spre = ML(collapse(S)) > > - And lots of demos! Have a look: http://launchpad.net/cbc.block > > (I will be on holiday the next weeks and may be slow to answer questions.) Very nice! -- Anders
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