Dear Prof. Bangerth,
Regarding the locally_owned_dofs_per_component() function:
Thank you for the detailed explanation, this clarifies the problem. Now I
have a better understanding of how a sequential triangulation is handled
when partitioned and used for problems ran on multiple processors.
Gabriel,
1. Regarding the initialization of PETSc::MPI::BlockSparseMatrix:
I have used the the IndexSet::split_by_block() function and this indeed works
good. Thanks for the suggestion!
Unfortunately, I have encountered another issue. The
PETSc::MPI::BlockSparseMatrix must be partitioned
Thank you for your input!
1. Regarding the initialization of PETSc::MPI::BlockSparseMatrix:
I have used the the IndexSet::split_by_block() function and this indeed
works good. Thanks for the suggestion!
Unfortunately, I have encountered another issue. The
PETSc::MPI::BlockSparseMatrix must be
Dear Timo, Dear Wolfgang,
Thank you both for your input!
1. Regarding the initialization of PETSc::MPI::BlockSparseMatrix:
I have used the the IndexSet::split_by_block() function and this indeed
works good. Thanks for the suggestion!
Unfortunately, I have encountered another issue. The
On 9/17/20 9:07 AM, Gabriel Stankiewicz wrote:
I created IndexSets by using the function
DoFTools::locally_owned_dofs_per_component() and then gathering all indices
corresponding to displacement DoFs (three instances of IndexSet) into one
IndexSet using IndexSet::add_indices() and the fourth
I created IndexSets by using the function
DoFTools::locally_owned_dofs_per_component() and then gathering all indices
corresponding to displacement DoFs (three instances of IndexSet) into one
IndexSet using IndexSet::add_indices() and the fourth instance correponded
to electric potential DoFs.
> This results in failed assertion, since: rows[0].size() = 2145,
> rows[1].size() = 2145, but bdsp.block(0,0).n_rows() = 1815,
> bdsp.block(1,1).n_rows() = 330 etc...
The size() of each IndexSet needs to correspond to the size of each
block of the sparsity pattern and this is what the
Hi Timo,
thanks for replying. I think I didn't describe my problem correctly. The 4
blocks have sizes: 1815 x 1815, 1815 x 330, 330 x 1815, 330 x 330. Such a
division results from having 1815 displacement DoFs and 330 electric
potential DoFs in the eigenvalue problem. Only the block 1815 x
Hi,
I don't quite understand your reasoning for a block with 0 DoFs. Try
removing any rows/columns from your block sparsity pattern and from your
IndexSet's that have size 0. Notice that the number of blocks is
independent of the number of components in your FEM.
Can you post the values for
