摘要
To achieve a fast solution of large-scale problems for composite targets, a skeletonization based method for accelerating the MFLMA solution of volume-surface integral equation is proposed. The near-field interactions in the four sub-blocks of the impedance matrix are compressed through skeletonization. To speedup the convergence of the iterative solution, an HSS-based block-diagonal preconditioner is also proposed. Numerical experiments are conducted on a frequency selective surface model to investigate the performance of the proposed method.
源语言 | 英语 |
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主期刊名 | 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 |
出版商 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(电子版) | 9781728169668 |
DOI | |
出版状态 | 已出版 - 7 12月 2020 |
活动 | 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 - Hangzhou, 中国 期限: 7 12月 2020 → 9 12月 2020 |
出版系列
姓名 | 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 |
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会议
会议 | 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 |
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国家/地区 | 中国 |
市 | Hangzhou |
时期 | 7/12/20 → 9/12/20 |
指纹
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Yan-Nan, L., & Pan, X. M. (2020). A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. 在 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 文章 9343568 (2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEMO49486.2020.9343568