A direct adaptive poisson solver of arbitrary order accuracy

Leslie Greengard; June Yub Lee

doi:10.1006/jcph.1996.0103

A direct adaptive poisson solver of arbitrary order accuracy

Leslie Greengard, June Yub Lee

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

Abstract

We present a direct, adaptive solver for the Poisson equation which can achieve any prescribed order of accuracy. It is based on a domain decomposition approach using local spectral approximation, as well as potential theory and the fast multipole method. In two space dimensions, the algorithm requires O(NK) work, where N is the number of discretization points and K is the desired order of accuracy.

Original language	English
Pages (from-to)	415-424
Number of pages	10
Journal	Journal of Computational Physics
Volume	125
Issue number	2
DOIs	https://doi.org/10.1006/jcph.1996.0103
State	Published - May 1996

Bibliographical note

Funding Information:
* The authors were supported by the Applied Mathematical Sciences Program of the U.S. Department of Energy under Contract DEFGO288ER25053, by the Office of Naval Research under Contract N00014-91-J-1312, by a NSF Presidential Young Investigator Award to L.G. and by a Packard Foundation Fellowship to L.G.

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10.1006/jcph.1996.0103

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author = "Leslie Greengard and Lee, {June Yub}",

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A direct adaptive poisson solver of arbitrary order accuracy

Abstract

Bibliographical note

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