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Adaptive H-matrix computations in linear elasticity

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00008010
URN to cite this document: urn:nbn:de:bvb:703-epub-8010-9

Title data

Bauer, Maximilian ; Bebendorf, Mario:
Adaptive H-matrix computations in linear elasticity.
In: Applied Numerical Mathematics. Vol. 201 (2024) . - pp. 1-19.
ISSN 0168-9274
DOI der Verlagsversion: https://doi.org/10.1016/j.apnum.2024.02.007

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Abstract

This article deals with the efficient numerical treatment of the Lamé equations. The equations of linear elasticity are considered as boundary integral equations and solved in the setting of the boundary element method (BEM). Using BEM, one is faced with the solution of a system of equations with a fully populated system matrix, which is in general very costly. In order to overcome this difficulty, adaptive and approximate algorithms based on hierarchical matrices and the adaptive cross approximation are proposed. These new methods rely on error estimators and refinement techniques known from adaptivity but are not used here to improve the mesh. We apply these new techniques to both, the efficient solution of Lamé equations and to the multiplication with given data.

Further data

Item Type: Article in a journal
Keywords: Matrix adaptivity; Hierarchical matrices; Linear elasticity; ACA; Error estimation
DDC Subjects: 500 Science > 510 Mathematics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing > Chair Scientific Computing - Univ.-Prof. Dr. Mario Bebendorf
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-8010-9
Date Deposited: 16 Oct 2024 08:31
Last Modified: 16 Oct 2024 08:32
URI: https://epub.uni-bayreuth.de/id/eprint/8010

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