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research article

Efficient Preconditioning of hp-FEM Matrices by Hierarchical Low-Rank Approximations

Gatto, Paolo  
•
Hesthaven, Jan S.  
2017
Journal Of Scientific Computing

We introduce a preconditioner based on a hierarchical low-rank compression scheme of Schur complements. The construction is inspired by standard nested dissection, and relies on the assumption that the Schur complements can be approximated, to high precision, by Hierarchically-Semi-Separable matrices. We build the preconditioner as an approximate factorization of a given matrix A, and no knowledge of A in assembled form is required by the construction. The factorization is amenable to fast inversion, and the action of the inverse can be determined fast as well. We investigate the behavior of the preconditioner in the context of DG finite element approximations of elliptic and hyperbolic problems, with respect to both the mesh size and the order of approximation.

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Type
research article
DOI
10.1007/s10915-016-0347-x
Web of Science ID

WOS:000403410200003

Author(s)
Gatto, Paolo  
Hesthaven, Jan S.  
Date Issued

2017

Publisher

Springer Verlag

Published in
Journal Of Scientific Computing
Volume

72

Issue

1

Start page

49

End page

80

Subjects

Preconditioned GMRES

•

Interpolative decomposition

•

Indefinite operators

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MCSS  
Available on Infoscience
July 10, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/138928
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