Joss,
The MatrixFree framework relies on the operator to be only defined by its
action. Accessing individual elements (as direct solvers typically require)
falls out of this concept. That is to say that the MatrixFree framework
only works well with an iterative solver.
Best,
Daniel
Am Do., 21.
Hi all,
I was using the solver PETScWrappers::SparseDirectMUMPS for a sparse matrix
approach. Now I am changing the code to a matrix-free implementation and I
am not using PETSc anymore, instead, I use
LinearAlegebra::distributed::Vector. I am not able to find an
equivalent direct solver
Hello everyone!
This is deal.II newsletter #187.
It automatically reports recently merged features and discussions about the
deal.II finite element library.
## Below you find a list of recently proposed or merged features:
#12856: Fix typo (proposed by gfcas)
Hi all,
As described in the title, I am looking for an appropriate preconditioner
for an asymmetric matrix implemented in matrix-free style.
I've gone though all the matrix-free tutorials and none of them talks about
the asymmetric case. (Almost all of them use the Chebyshev smoother with
Dear Wolfgang,
I believe I answered you privately, but I cannot find my email anywhere. In
case you didn"t receive it, I am sending such a test case here again. The
testcase is a box porous material model with 8 cells to be able to
interpolate BC's and to see the problematics clearlier. The
Dear all,
I am having some trouble understanding how to have access to the different
components (2 for complex values) in a matrix-free implementation and MPI.
I need to have access to each component to perform the different operations
to them in the *local_apply()* function.
I saw this
