DocumentCode :
2156486
Title :
A fast direct finite element solver for large-scale 3-D electromagnetic analysis
Author :
Zhou, Bangda ; Jiao, Dan
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2012
fDate :
8-14 July 2012
Firstpage :
1
Lastpage :
2
Abstract :
A fast direct solver is developed for the vector finite element based analysis of general 3-D electromagnetic problems. In this solver, we fully take advantage of the sparsity in the original matrix of size N and the reduced fill-ins due to nested dissection ordering. We also organize the overall factorization into a sequence of partial factorizations of dense smaller matrices by the multifrontal algorithm. We then accelerate the computation of all the intermediate dense matrices by ℌ-matrix based fast arithmetic. The computational complexity of the proposed solver is theoretically analyzed and shown to be O(N) in both time and storage for problems with a relatively small electric size. The solver´s controlled accuracy is also proved. Numerical experiments demonstrate that the proposed solver outperforms both the state-of-the-art multifrontal solver and the ℌ-based direct solver for 3-D electromagnetic analysis.
Keywords :
computational complexity; electromagnetic fields; finite element analysis; matrix decomposition; ℌ-matrix based fast arithmetic; computational complexity; dense smaller matrices partial factorizations; fast direct finite element solver; intermediate dense matrices; large-scale 3D electromagnetic analysis; multifrontal solver algorithm; nested dissection ordering; vector finite element based analysis; Acceleration; Accuracy; Complexity theory; Electromagnetic analysis; Finite element methods; Particle separators; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
ISSN :
1522-3965
Print_ISBN :
978-1-4673-0461-0
Type :
conf
DOI :
10.1109/APS.2012.6349135
Filename :
6349135
Link To Document :
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