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arXiv 1211.4752math.NAcs.NAmath-phmath.APmath.MP
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不定亥姆霍兹问题的一种新的层级依赖粗网格校正方案

A new level-dependent coarsegrid correction scheme for indefinite Helmholtz problems

University of Antwerp(安特卫普大学);Intel ExaScience Lab(英特尔超算实验室)

Siegfried Cools, Bram Reps, Wim Vanroose

AI总结:

针对不定亥姆霍兹问题,提出并分析了一种层级依赖的粗网格校正方案,通过多重网格循环中采用网格依赖复平移实现稳定校正,理论证明其有效性,数值实验表明优于现有预条件 Krylov 方法。

摘要:

本文针对不定亥姆霍兹问题构建并分析了一种层级依赖的粗网格校正方案。这种自适应多重网格方法能够通过一系列具有网格依赖复平移的多重网格循环在最细网格上求解亥姆霍兹方程,从而在所有层级上实现稳定的校正方案。严格证明了多重网格循环中复平移的适应性保持了二网格校正方案的功能,因为没有平滑模式被放大或添加到误差中。此外,应应用足够平滑的松弛方案以确保振荡误差分量的阻尼。各种基准问题的数值实验表明,该方法与当前最先进的多重网格预条件 Krylov 方法(例如 CSL 预条件的 GMRES 或 BiCGStab)相比具有竞争力,甚至更优。

英文摘要:

In this paper we construct and analyse a level-dependent coarsegrid correction scheme for indefinite Helmholtz problems. This adapted multigrid method is capable of solving the Helmholtz equation on the finest grid using a series of multigrid cycles with a grid-dependent complex shift, leading to a stable correction scheme on all levels. It is rigourously shown that the adaptation of the complex shift throughout the multigrid cycle maintains the functionality of the two-grid correction scheme, as no smooth modes are amplified in or added to the error. In addition, a sufficiently smoothing relaxation scheme should be applied to ensure damping of the oscillatory error components. Numerical experiments on various benchmark problems show the method to be competitive with or even outperform the current state-of-the-art multigrid-preconditioned Krylov methods, like e.g. CSL-preconditioned GMRES or BiCGStab.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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