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dc.contributor.authorErgül, Özgüren_US
dc.contributor.authorGürel, Leventen_US
dc.coverage.spatialHonolulu, HI, USAen_US
dc.date.accessioned2016-02-08T11:40:28Z
dc.date.available2016-02-08T11:40:28Z
dc.date.issued2007en_US
dc.identifier.issn15223965
dc.identifier.urihttp://hdl.handle.net/11693/26954
dc.descriptionDate of Conference: 9-15 June 2007en_US
dc.descriptionConference Name: Antennas and Propagation Society International Symposium, IEEE 2007en_US
dc.description.abstractIn this paper, we show that transforming the original equations into normal equations improves the convergence of EFIE significantly. We present the solutions of EFIE by employing the least-squares QR (LSQR) algorithm, which corresponds to a stable application of the conjugate gradient (CG) algorithm on the normal equations. Despite the squaring of the condition number due to such a transformation into the normal equations, LSQR improves the convergence rate of the iterative solutions of EFIE and performs better than many other iterative algorithms that are commonly used in the literature. In addition to LSQR, we present the accelerated convergence of the normal equations in the context of the generalized minimal residual (GMRES) algorithm, where the memory requirement is reduced significantly due to the improved convergence characteristics.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the Antennas and Propagation Society International Symposium, IEEE 2007en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/APS.2007.4395880en_US
dc.titleIterative solution of the normal-equations form of the electric-field integral equationen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1857en_US
dc.citation.epage1860en_US
dc.identifier.doi10.1109/APS.2007.4395880en_US
dc.publisherIEEEen_US


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