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Adaptive H-matrix computations in linear elasticity

Title data

Bauer, Maximilian ; Bebendorf, Mario:
Adaptive H-matrix computations in linear elasticity.
In: Applied Numerical Mathematics. Vol. 201 (2024) . - pp. 1-19.
ISSN 1873-5460
DOI: https://doi.org/10.1016/j.apnum.2024.02.007

Official URL: Volltext

Abstract in another language

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
Refereed: Yes
Keywords: Matrix adaptivity; Hierarchical matrices; Linear elasticity; ACA; Error estimation
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
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 19 Oct 2024 21:01
Last Modified: 21 Oct 2024 09:55
URI: https://eref.uni-bayreuth.de/id/eprint/90776