Efficient Performance of MLSSM-MLFMA Algorithm Using Adaptive Grouping Technique for Electromagnetic Problems-Reference-Cited by-同舟云学术

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Efficient Performance of MLSSM-MLFMA Algorithm Using Adaptive Grouping Technique for Electromagnetic Problems

Published:2018-01 Issue:1 Volume:66 Page:493-496
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Wang Caiping,Jiang Zhaoneng^ORCID,Qiao Xuguang,Wan Ting

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Open Research Program of State Key Laboratory of Millimeter Waves of Southeast University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/8241014/08089413.pdf?arnumber=8089413

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Broadband Analysis of Multiscale Electromagnetic Problems: Novel Incomplete-Leaf MLFMA for Potential Integral Equations;IEEE Transactions on Antennas and Propagation;2021-12

2. Low-Rank Matrix Factorization Method for Multiscale Simulations: A Review;IEEE Open Journal of Antennas and Propagation;2021

3. A well-conditioned multilevel directional simply sparse method for analysis of electromagnetic problems;Engineering Analysis with Boundary Elements;2019-02

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