Title :
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
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);
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2013.2295239
