Michael,

Adding to Wolfgang's response:

Am Dienstag, 26. September 2017 17:42:41 UTC+2 schrieb Michał Wichrowski:
>
> Dear all,
> I'm dealing with Stokes problem that I want to solve using matrix-free 
> methods. In tests I've alredy found  implementation of Stokes operator that 
> uses block vectors. I'm goning to use multigrid method for saddle point 
> problems similar to the one presented in:
> An efficient smoother for the Stokes problem D Braess, R Sarazin - Applied 
> Numerical Mathematics, 1997 - Elsevier
>
> Let the Stokes matrix be:
> (A B^T
> B 0)
>
> 1) The method requires several multiplication by blocks A and B at each 
> level. Is there any recommended way to implement it? ()
>
Have a look at tests/matrix_free/matrix_vector_stokes_base.cc for a 
MatrixFree approach for a block system using BlockVectors.
If you want the individual blocks A and B it might be best to write them to 
implement them individually as derived classes from 
MatrixFreeOperators::Base<dim, BlockVectorType> in a similar way as this is 
done in the test mentioned above.
 

> 2) I've  found  MGTransferBlockMatrixFree class in developer version of 
> deal.ii, however it assumes that each block have the same dof_hander (and 
> thats for me is obviously not true). Is there existing MGTrasfrer for my 
> problem?
> BTW, why MGTrasfrer does work with several dof handres like MatrixFree?
>
No, this is currently not implemented but definitely on my TODO-list. This 
would basically be combining MGTransferMatrixFree with the current 
MGTransferBlockMatrixFree.
 

>
> 3) Is there a way to use multigrid on one block? For example I would like 
> to compute approximation of A^-1 using multigrid.
>
Sure, you would just follow step-37 and apply just one block of the vector.

Best,
Daniel

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