High order fourier-spectral solutions to self adjoint elliptic equations

  • Moshe Israeli
  • , Alexander Sherman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We develop a High Order Fourier solver for nonseparable, selfadjoint elliptic equations with variable (diffusion) coefficients. The solution of an auxiliary constant coefficient equation, serves in a transformation of the dependent variable. There results a "modified Helmholtz" elliptic equation with almost constant coefficients. The small deviations from constancy are treated as correction terms. We developed a highly accurate, fast, Fourier-spectral algorithm to solve such constant coefficient equations. A small number of correction steps is required in order to achieve very high accuracy. This is achieved by optimization of the coefficients in the auxiliary equation. For given coefficients the approximation error becomes smaller as the domain decreases. A highly parallelizable hierarchical procedure allows a decomposition into smaller sub-domains where the solution is efficiently computed. This step is followed by hierarchical matching to reconstruct the global solution. Numerical experiments illustrate the high accuracy of the approach even at coarse resolutions.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers
PublisherSpringer Verlag
Pages378-390
Number of pages13
ISBN (Print)9783540713500
DOIs
StatePublished - 2007
Externally publishedYes
Event7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006 - Rio de Janeiro, Brazil
Duration: 10 Jun 200613 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4395 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006
Country/TerritoryBrazil
CityRio de Janeiro
Period10/06/0613/06/06

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