DocumentCode :
3170949
Title :
Factorized sparse approximate inverse preconditioning strategies for MLFMA
Author :
Daopu Xiang ; Dongming Zhou ; Jianguo He
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2009
fDate :
3-6 Nov. 2009
Firstpage :
395
Lastpage :
398
Abstract :
We consider the solution of large electromagnetic scattering problems involving three-dimensional arbitrarily shaped targets using the multilevel fast multipole algorithm (MLFMA). One kind of parallel sparse approximation inverse preconditioner is employed to reduce the iteration counts for the solutions of the electric-field integral equation (EFIE) and the combined-field integral equation (CFIE). Even though CFIE produces better conditioned systems compared to EFIE, we still need EFIE for problems involving open geometries since CFIE is limited to the solution of closed geometries.
Keywords :
approximation theory; electric field integral equations; electromagnetic wave scattering; iterative methods; matrix decomposition; matrix inversion; parallel algorithms; sparse matrices; CFIE; EFIE; MLFMA; closed geometry; combined-field integral equation; electric-field integral equation; factorized parallel sparse approximate inverse preconditioning strategy; iterative method; large electromagnetic scattering problem; multilevel fast multipole algorithm; open geometry; three-dimensional arbitrarily shaped target;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Microwave Technology and Computational Electromagnetics, 2009. ICMTCE. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-84919-140-1
Type :
conf
DOI :
10.1049/cp.2009.1352
Filename :
5521233
Link To Document :
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