A Preconditioning Technique Based On Singular Value Decomposition And Its Comparision With The Characteristic Basis Function Method

Keywords

Block diagonal; CBFM; large dense matrices; Preconditioner; SVD

Abstract

In this paper, we investigate some matrix preconditioning techniques for handling highly ill-conditioned matrices that often arise in Computational Electromagnetics (CEM). A preconditioning technique based on the use of Singular Value Decomposition (SVD) is proposed in this work to speed up the convergence of iterative methods when handling such matrices. Following this we review the Characteristic Basis Function Method (CBFM) and compare it to the preconditioner approach to handle similar problems.

Publication Date

10-11-2016

Publication Title

2016 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2016 - Proceedings

Number of Pages

55-56

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/USNC-URSI.2016.7588509

Socpus ID

84995752995 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84995752995

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