Abstract
We investigate preconditioned iterative solutions of large dense complex valued matrices arising from discretizing the integral equation of electromagnetic scattering. The main purpose of this study is to evaluate the efficiency of preconditioning techniques based on incomplete LU (ILU) factorization and sparse approximate inverse (SAI) for solving this class of dense matrices. We solve the electromagnetic wave equations using the BiCG method with the preconditioners in the context of a multilevel fast multipole algorithm (MLFMA). The novelty of this work is that the preconditioners are constructed using the near part block diagonal submatrix generated from the MLFMA. Experimental results show that the ILU and SAI preconditioners reduce the number of BiCG iterations substantially.
| Original language | English |
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| Pages | 347-350 |
| Number of pages | 4 |
| State | Published - 2003 |
| Event | 19th Annual Review of Progress in Applied Computational Electromagnetics - Monterey, CA, United States Duration: Mar 24 2003 → Mar 28 2003 |
Conference
| Conference | 19th Annual Review of Progress in Applied Computational Electromagnetics |
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| Country/Territory | United States |
| City | Monterey, CA |
| Period | 3/24/03 → 3/28/03 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering