Journal of Computational and Applied Mathematics2022,Vol.40917.DOI:10.1016/j.cam.2022.114126

On the stability of exponential integrators for non-diffusive equations

Buvoli, Tommaso Minion, Michael L.
Journal of Computational and Applied Mathematics2022,Vol.40917.DOI:10.1016/j.cam.2022.114126

On the stability of exponential integrators for non-diffusive equations

Buvoli, Tommaso 1Minion, Michael L.2
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作者信息

  • 1. Univ Calif Merced
  • 2. Lawrence Berkeley Natl Lab
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Abstract

Exponential integrators are a well-known class of time integration methods that have been the subject of many studies and developments in the past two decades. Surprisingly, there have been limited efforts to analyze their stability and efficiency on non-diffusive equations to date. In this paper we apply linear stability analysis to showcase the poor stability properties of exponential integrators on non-diffusive problems. We then propose a simple repartitioning approach that stabilizes the integrators and enables the efficient solution of stiff, non-diffusive equations. To validate the effectiveness of our approach, we perform several numerical experiments that compare partitioned exponential integrators to unmodified ones. We also compare repartitioning to the well-known approach of adding hyperviscosity to the equation right-hand-side. Overall, we find that the repartitioning restores convergence at large timesteps and, unlike hyperviscosity, it does not require the use of high-order spatial derivatives.(C) 2022 Elsevier B.V. All rights reserved.

Key words

Exponential integrators/Linear stability analysis/Non-diffusive equations/Repartitioning/Hyperviscosity/RUNGE-KUTTA METHODS/PROPAGATION ITERATIVE METHODS/STIFF SYSTEMS/IMPLICIT/PARALLEL/SCHEMES

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量2
参考文献量47
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