Presentation
MGRIT Preconditioned Krylov Subspace Method
SessionResearch Posters
Event Type
Poster
TP
EX
TimeThursday, November 15th8:30am - 5pm
LocationC2/3/4 Ballroom
DescriptionMGRIT re-discretize the problem with larger time-step width at the coarse-levels, which often cause unstable convergence. We propose a Krylov subspace method with MGRIT preconditioning as a more stable solver. For unstable problems, MGRIT preconditioned Krylov subspace method performed better than MGRIT in terms of the number of iterations. The contributions of the paper are organized as follows. We showed the matrix form of MGRIT operations, and the improvement of eigenvalue or singular-value distribution. We exemplified MGRIT with Krylov subspace method reaching convergence faster than MGRIT.
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