Compressed Absorbing Boundary Conditions via Matrix Probing

Absorbing layers are sometimes required to be impractically thick in order to offer an accurate approximation of an absorbing boundary condition for the Helmholtz equation in a heterogeneous medium. It is always possible to reduce an absorbing layer to an operator at the boundary by layer stripping...

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Main Authors: Belanger-Rioux, R., Demanet, Laurent
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Language:en_US
Published: Society for Industrial and Applied Mathematics 2016
Online Access:http://hdl.handle.net/1721.1/100894
https://orcid.org/0000-0001-7052-5097
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author Belanger-Rioux, R.
Demanet, Laurent
author2 Massachusetts Institute of Technology. Department of Mathematics
author_facet Massachusetts Institute of Technology. Department of Mathematics
Belanger-Rioux, R.
Demanet, Laurent
author_sort Belanger-Rioux, R.
collection MIT
description Absorbing layers are sometimes required to be impractically thick in order to offer an accurate approximation of an absorbing boundary condition for the Helmholtz equation in a heterogeneous medium. It is always possible to reduce an absorbing layer to an operator at the boundary by layer stripping elimination of the exterior unknowns, but the linear algebra involved is costly. We propose bypassing the elimination procedure and directly fitting the surface-to-surface operator in compressed form from a few exterior Helmholtz solves with random Dirichlet data. The result is a concise description of the absorbing boundary condition, with a complexity that grows slowly (often, logarithmically) in the frequency parameter.
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spelling mit-1721.1/1008942022-09-30T00:08:10Z Compressed Absorbing Boundary Conditions via Matrix Probing Belanger-Rioux, R. Demanet, Laurent Massachusetts Institute of Technology. Department of Mathematics Demanet, Laurent Absorbing layers are sometimes required to be impractically thick in order to offer an accurate approximation of an absorbing boundary condition for the Helmholtz equation in a heterogeneous medium. It is always possible to reduce an absorbing layer to an operator at the boundary by layer stripping elimination of the exterior unknowns, but the linear algebra involved is costly. We propose bypassing the elimination procedure and directly fitting the surface-to-surface operator in compressed form from a few exterior Helmholtz solves with random Dirichlet data. The result is a concise description of the absorbing boundary condition, with a complexity that grows slowly (often, logarithmically) in the frequency parameter. United States. Air Force Office of Scientific Research United States. Office of Naval Research National Science Foundation (U.S.) TOTAL (Firm) Alfred P. Sloan Foundation 2016-01-18T21:06:14Z 2016-01-18T21:06:14Z 2015-10 2015-08 Article http://purl.org/eprint/type/JournalArticle 0036-1429 1095-7170 http://hdl.handle.net/1721.1/100894 Belanger-Rioux, R., and L. Demanet. “Compressed Absorbing Boundary Conditions via Matrix Probing.” SIAM J. Numer. Anal. 53, no. 5 (January 2015): 2441–2471. © 2015 Society for Industrial and Applied Mathematics https://orcid.org/0000-0001-7052-5097 en_US http://dx.doi.org/10.1137/14095563x SIAM Journal on Numerical Analysis Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Society for Industrial and Applied Mathematics Society for Industrial and Applied Mathematics
spellingShingle Belanger-Rioux, R.
Demanet, Laurent
Compressed Absorbing Boundary Conditions via Matrix Probing
title Compressed Absorbing Boundary Conditions via Matrix Probing
title_full Compressed Absorbing Boundary Conditions via Matrix Probing
title_fullStr Compressed Absorbing Boundary Conditions via Matrix Probing
title_full_unstemmed Compressed Absorbing Boundary Conditions via Matrix Probing
title_short Compressed Absorbing Boundary Conditions via Matrix Probing
title_sort compressed absorbing boundary conditions via matrix probing
url http://hdl.handle.net/1721.1/100894
https://orcid.org/0000-0001-7052-5097
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