A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation

Liu Yan-Nan; Xiao Min Pan

doi:10.1109/NEMO49486.2020.9343568

A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation

Liu Yan-Nan, Xiao Min Pan

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728169668
DOIs	https://doi.org/10.1109/NEMO49486.2020.9343568
Publication status	Published - 7 Dec 2020
Event	2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 - Hangzhou, China Duration: 7 Dec 2020 → 9 Dec 2020

Publication series

Name	2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020

Conference

Conference	2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020
Country/Territory	China
City	Hangzhou
Period	7/12/20 → 9/12/20

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10.1109/NEMO49486.2020.9343568

Cite this

Yan-Nan, L., & Pan, X. M. (2020). A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. In 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 Article 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

Yan-Nan, Liu ; Pan, Xiao Min. / A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020).

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title = "A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation",

abstract = "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.",

author = "Liu Yan-Nan and Pan, {Xiao Min}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 ; Conference date: 07-12-2020 Through 09-12-2020",

year = "2020",

month = dec,

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doi = "10.1109/NEMO49486.2020.9343568",

language = "English",

series = "2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Yan-Nan, L & Pan, XM 2020, A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. in 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020., 9343568, 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020, Hangzhou, China, 7/12/20. https://doi.org/10.1109/NEMO49486.2020.9343568

A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. / Yan-Nan, Liu; Pan, Xiao Min.
2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9343568 (2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation

AU - Yan-Nan, Liu

AU - Pan, Xiao Min

PY - 2020/12/7

Y1 - 2020/12/7

N2 - 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.

AB - 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.

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DO - 10.1109/NEMO49486.2020.9343568

M3 - Conference contribution

AN - SCOPUS:85101288723

T3 - 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020

BT - 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020

Y2 - 7 December 2020 through 9 December 2020

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Yan-Nan L, Pan XM. A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation. In 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9343568. (2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020). doi: 10.1109/NEMO49486.2020.9343568

A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation

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