An direct solver for integral equations on the plane

An efficient direct solver for volume integral equations with complexity for a broad range of problems is presented. The solver relies on hierarchical compression of the discretized integral operator, and exploits that off-diagonal blocks of certain dense matrices have numerically low rank. Technica...

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Published inApplied and computational harmonic analysis Vol. 38; no. 2; pp. 284 - 317
Main Authors Corona, Eduardo, Martinsson, Per-Gunnar, Zorin, Denis
Format Journal Article
LanguageEnglish
Published 01.03.2015
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Abstract An efficient direct solver for volume integral equations with complexity for a broad range of problems is presented. The solver relies on hierarchical compression of the discretized integral operator, and exploits that off-diagonal blocks of certain dense matrices have numerically low rank. Technically, the solver is inspired by previously developed direct solvers for integral equations based on "recursive skeletonization" and "Hierarchically Semi-Separable" (HSS) matrices, but it improves on the asymptotic complexity of existing solvers by incorporating an additional level of compression. The resulting solver has optimal complexity for all stages of the computation, as demonstrated by both theoretical analysis and numerical examples. The computational examples further display good practical performance in terms of both speed and memory usage. In particular, it is demonstrated that even problems involving 10 super(7) unknowns can be solved to precision using a simple Matlab implementation of the algorithm executed on a single core.
AbstractList An efficient direct solver for volume integral equations with complexity for a broad range of problems is presented. The solver relies on hierarchical compression of the discretized integral operator, and exploits that off-diagonal blocks of certain dense matrices have numerically low rank. Technically, the solver is inspired by previously developed direct solvers for integral equations based on "recursive skeletonization" and "Hierarchically Semi-Separable" (HSS) matrices, but it improves on the asymptotic complexity of existing solvers by incorporating an additional level of compression. The resulting solver has optimal complexity for all stages of the computation, as demonstrated by both theoretical analysis and numerical examples. The computational examples further display good practical performance in terms of both speed and memory usage. In particular, it is demonstrated that even problems involving 10 super(7) unknowns can be solved to precision using a simple Matlab implementation of the algorithm executed on a single core.
Author Corona, Eduardo
Zorin, Denis
Martinsson, Per-Gunnar
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StartPage 284
SubjectTerms Asymptotic properties
Complexity
Compressing
Computation
Integral equations
Mathematical models
Matlab
Solvers
Title An direct solver for integral equations on the plane
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