On 4/19/24 21:54, Tao Jin wrote:
Now that my LinearOperator is defined as B_0 + W * M * W^T, I only need to
find an appropriate iterative solver that can solve the inverse of this
operator (the underlying matrix is fully dense) efficiently.
It is entirely unimportant that the matrix is dense. For iterative solvers,
this is of no consequence at all. What matters is whether, for example, it is
symmetric and/or positive definite. The other things that matters is whether
you can construct a good preconditioner for it.
You really should read through step-20 and step-22 to see how all of this
works in practice.
Best
W.
--
------------------------------------------------------------------------
Wolfgang Bangerth email: [email protected]
www: http://www.math.colostate.edu/~bangerth/
--
The deal.II project is located at http://www.dealii.org/
For mailing list/forum options, see
https://groups.google.com/d/forum/dealii?hl=en
---
You received this message because you are subscribed to the Google Groups "deal.II User Group" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To view this discussion on the web visit
https://groups.google.com/d/msgid/dealii/a3d6ba36-6968-4863-8ec5-816398898236%40colostate.edu.
