Combining the CORS and BiCORSTAB iterative methods with MLFMA and SAI preconditioning for solving large linear systems in electromagnetics

Bruno Carpentieri*, Yan Fei Jing, Ting Zhu Huang, Wei Chao Pi, Xin Qing Sheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

We 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.

Original languageEnglish
Pages (from-to)102-111
Number of pages10
JournalApplied Computational Electromagnetics Society Journal
Volume27
Issue number2
Publication statusPublished - Feb 2012

Keywords

  • Krylov subspace methods
  • Lanczos biconjugate A-orthonormalization methods
  • Multilevel fast multipole method
  • Scattering problems
  • Sparse approximate inverse preconditioning

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