Improved Algebraic Preconditioning for MoM Solutions of Large-Scale Electromagnetic Problems

Author

Xiao-Min Pan ; Xin-Qing Sheng

Author_Institution

Center for Electromagn. Simulation, Beijing Inst. of Technol., Beijing, China

Volume

13

fYear

2014

fDate

2014

Firstpage

106

Lastpage

109

Abstract

Algebraic preconditioners in method of moments (MoM) are often constructed from the filtered near-field interaction (NFI) matrix. However, the criterion for filtering NFI matrix is an art rather than science, and the resulting preconditioner suffers seriously from the lack of global interaction information. The proposed methodology is aimed to relax these limitations by the skeletonization. Numerical experiments have been performed to show efficiency and effectiveness of the proposed methodology.

Keywords

approximation theory; electromagnetic field theory; inverse problems; method of moments; sparse matrices; MoM solutions; NFI matrix filtering; SAI; algebraic preconditioning improvement; large-scale electromagnetic problems; method-of-moments; near-field interaction matrix; skeletonization; sparse approximate inverse; Acceleration; Approximation methods; Computational modeling; Electromagnetics; MLFMA; Method of moments; Numerical models; Incomplete LU (ILU); preconditioner; skeleton; sparse approximate inverse (SAI);

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2013.2295239

Filename

6685894