2019
DOI: 10.1016/j.apnum.2018.08.020
|View full text |Cite
|
Sign up to set email alerts
|

An efficient two-level preconditioner for multi-frequency wave propagation problems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
20
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(20 citation statements)
references
References 43 publications
(159 reference statements)
0
20
0
Order By: Relevance
“…The seed frequency is chosen at τ = (1 − 0.5i)ω max for which we recorded optimal convergence behavior. When the number of frequencies is increased, we observe an improved performance compared to an extrapolation of the N ω = 2 following [7] improves convergence, and allows for larger frequency ranges case. We also observed that the size of interval in which the different frequencies range is crucial for the convergence behavior.…”
Section: Experiments 6 (Marmousi-ii At Multiple Frequencies) Performanmentioning
confidence: 74%
See 2 more Smart Citations
“…The seed frequency is chosen at τ = (1 − 0.5i)ω max for which we recorded optimal convergence behavior. When the number of frequencies is increased, we observe an improved performance compared to an extrapolation of the N ω = 2 following [7] improves convergence, and allows for larger frequency ranges case. We also observed that the size of interval in which the different frequencies range is crucial for the convergence behavior.…”
Section: Experiments 6 (Marmousi-ii At Multiple Frequencies) Performanmentioning
confidence: 74%
“…Spectral anlysis shows that the angles ϕ k can be chosen such that the spectrum of the preconditioned operator is rotated and convergence is improved, cf. [7]. In the present case of global IDR(s) (Algorithm 1) combined with an inexact MSSS preconditioner (19), we record a reduction to 60% of the CPU time when spectral rotation is applied to the N ω = 10 case, cf.…”
Section: Experiments 6 (Marmousi-ii At Multiple Frequencies) Performanmentioning
confidence: 99%
See 1 more Smart Citation
“…Inspired by [21], in our experiments we choose τ k near the shifts of interest as this strategy has been shown to yield often fast convergence rates. However, we acknowledge that the choice of τ k for multi-shifted linear systems is still an open problem that deserves closer attention; e.g., see [44] for a strategy to select the optimal parameter τ for a single shift-and-invert preconditioner applied to the solution of shifted linear systems. For the PDBGMRES-Sh method, we choose a right preconditioner in shifted form A − τ I with shifts τ = −0.002, −0.006, −2.…”
Section: Numerical Experiments With Variable Preconditioningmentioning
confidence: 99%
“…• Global GMRES [21] suitable for the matrix equation approach (2) (cf. Algorithm 1 and [6]), • Polynomial preconditioners [1,8] for multi-shift GMRES (cf. Algorithm 2), • Nested multi-shift FOM-FGMRES as presented in [7] (cf.…”
Section: Introductionmentioning
confidence: 99%