Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency?

Author:

Marchand P.ORCID,Galkowski J.,Spence E. A.,Spence A.

Abstract

AbstractWe consider GMRES applied to discretisations of the high-frequency Helmholtz equation with strong trapping; recall that in this situation the problem is exponentially ill-conditioned through an increasing sequence of frequencies. Our main focus is on boundary-integral-equation formulations of the exterior Dirichlet and Neumann obstacle problems in 2- and 3-d. Under certain assumptions about the distribution of the eigenvalues of the integral operators, we prove upper bounds on how the number of GMRES iterations grows with the frequency; we then investigate numerically the sharpness (in terms of dependence on frequency) ofbothour boundsandvarious quantities entering our bounds. This paper is therefore the first comprehensive study of the frequency-dependence of the number of GMRES iterations for Helmholtz boundary-integral equations under trapping.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Coercive second-kind boundary integral equations for the Laplace Dirichlet problem on Lipschitz domains;Numerische Mathematik;2024-06-18

2. The Scattering Phase: Seen at Last;SIAM Journal on Applied Mathematics;2024-02-12

3. High-Frequency Estimates on Boundary Integral Operators for the Helmholtz Exterior Neumann Problem;Integral Equations and Operator Theory;2022-10-17

4. Recent Advances in Acoustic Boundary Element Methods;Journal of Theoretical and Computational Acoustics;2022-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3