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Hierarchical Matrix-Based Direct Solver for Permuted Poggio-Miller-Chang-Harrington-Wu-Tsai Equation

  • Beihang University
  • Zhongguancun Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With some rearrangement of the basis and testing functions, a permuted impedance matrix of the Poggio- Miller-Chang-Harrington-Wu-Tsai (PMCHWT) equation is obtained, where the canonical hierarchical matrix-based direct solver can effectively function. In this paper, the feasibility of hierarchical matrix schemes in permuted PMCHWT is derived. Compared with using four hierarchical matrices on four submatrices in the classic formula, the method using hierarchical matrices on the permuted formula can reduce both the memory of storage and the time of decomposition. Several numerical results are provided to validate the permutation combined with the hierarchical matrix and to reveal the efficiency and accuracy of the proposed scheme.

Original languageEnglish
Title of host publication2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781733509657
DOIs
StatePublished - 2023
Event2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 - Hangzhou, China
Duration: 15 Aug 202318 Aug 2023

Publication series

Name2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

Conference

Conference2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
Country/TerritoryChina
CityHangzhou
Period15/08/2318/08/23

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