Title Approximate inverse preconditioners for some large dense random electrostatic interaction matrices
Authors Johan Helsing
Alternative Location http://www.maths.lth.se/na/...
Alternative Location http://dx.doi.org/10.1007/s..., Restricted Access
Publication BIT Numerical Mathematics
Year 2006
Volume 46
Issue 2
Pages 307 - 323
Document type Article
Status Published
Quality controlled Yes
Language eng
Publisher Springer Netherlands
Abstract English A sparse mesh-neighbour based approximate inverse preconditioner is proposed for a type of dense matrices whose entries come from the evaluation of a slowly decaying free space Green's function at randomly placed points in a unit cell. By approximating distant potential fields originating at closely spaced sources in a certain way, the preconditioner is given properties similar to, or better than, those of a standard least squares approximate inverse preconditioner while its setup cost is only that of a diagonal block approximate inverse preconditioner. Numerical experiments on iterative solutions of linear systems with up to four million unknowns illustrate how the new preconditioner drastically outperforms standard approximate inverse preconditioners of otherwise similar construction, and especially so when the preconditioners are very sparse.
Keywords dense matrices, preconditioners, sparse approximate, inverses, potential theory, iterative methods, integral equations,
ISBN/ISSN/Other ISSN: 0006-3835

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