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Title: An Implicit wavelet sparse approximate inverse preconditioner
Related: SIAM journal on scientific computing, Vol. 27, No. 2 (2005), p.667-686
DOI: 10.1137/S1064827503423500
Publisher: Society for Industrial and Applied Mathematics
Date: 2005
FoR/RFCD Code(s): 010200 Applied Mathematics
Author/Creator: Hawkins, Stuart C
Author/Creator: Chen, Ke
Description: Wavelet-based sparse approximate inverse preconditioners are considered for the linear system Ax = b. The preconditioners are good sparse approximations to the inverse of A computed by taking advantage of the compression obtained by working in a wavelet basis. When the representation of A in a single scale basis (for example, a finite element basis) is available, the formulation presented obviates computation of the representation of A in the wavelet basis and removes the associated costs. Efficient application for both sparse and dense A is considered.
Description: 20 page(s)
Subject Keyword: 010200 Applied Mathematics
Subject Keyword: linear system
Subject Keyword: preconditioning
Subject Keyword: sparse approximate inverse
Subject Keyword: wavelet
Resource Type: journal article
Organisation: Macquarie University. Dept. of Mathematics

Identifier: http://hdl.handle.net/1959.14/116465
Identifier: ISSN:1095-7197
Identifier: mq-rm-2009007551
Language: eng
Rights: Copyright SIAM Publications. Article archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further information see http://www.siam.org/.
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