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dc.contributor.authorCarpentieri B
dc.contributor.authorJing YF
dc.contributor.authorHuang TZ
dc.contributor.authorPi WC
dc.contributor.authorSheng XQ
dc.date.accessioned2018-08-07T08:42:29Z
dc.date.available2018-08-07T08:42:29Z
dc.date.issued2012
dc.identifier.issn1054-4887
dc.identifier.urihttp://www.aces-society.org/search.php?vol=27&no=2&type=2
dc.identifier.urihttp://hdl.handle.net/10863/5665
dc.description.abstractWe report on experiments with a novel family of Krylov subspace methods for solving dense, complex, non-Hermitian systems of linear equations arising from the Galerkin discretization of surface integral equation models in Electromagnetics. By some experiments on realistic radar-cross-section calculation, we illustrate the numerical efficiency of the proposed class of algorithms also against other popular iterative techniques in use today.en_US
dc.language.isoenen_US
dc.rights
dc.titleCombining the CORS and BiCORSTAB iterative methods with MLFMA and SAI preconditioning for solving large linear systems in electromagneticsen_US
dc.typeArticleen_US
dc.date.updated2018-08-06T15:04:18Z
dc.language.isiEN-GB
dc.journal.titleApplied Computational Electromagnetics Society Journal
dc.description.fulltextopenen_US


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