Efficiency Improvements in Compressing H2Matrices for Translationally Invariant Kernels

R. J. Adams, J. C. Young, S. D. Gedney

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

1 Scopus citations

Abstract

H2 matrices provide efficient representations for compressible kernels such as those encountered in low-frequency electromagnetic modeling applications. It has recently been observed that H2 matrices obtained using matrix sampling techniques can be rendered translationally invariant using an iterative procedure. For some applications the computational costs associated with the previously reported procedure are high. This presentation will report strategies to reduce these costs for the kernels encountered in low-frequency electromagnetic modeling applications.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Pages1928-1929
Number of pages2
ISBN (Electronic)9781665496582
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States
Duration: Jul 10 2022Jul 15 2022

Publication series

Name2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period7/10/227/15/22

Bibliographical note

Funding Information:
V. ACKNOWLEDGMENT This work was funded in part by ONR Grants N00014-16-1-3066 and N00014-21-1-2599.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Method of moments
  • circuit model

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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