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 language | English |
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Title of host publication | 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings |
Pages | 1928-1929 |
Number of pages | 2 |
ISBN (Electronic) | 9781665496582 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States Duration: Jul 10 2022 → Jul 15 2022 |
Publication series
Name | 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings |
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Conference
Conference | 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 |
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Country/Territory | United States |
City | Denver |
Period | 7/10/22 → 7/15/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Funding
V. ACKNOWLEDGMENT This work was funded in part by ONR Grants N00014-16-1-3066 and N00014-21-1-2599.
Funders | Funder number |
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Office of Naval Research | N00014-16-1-3066, N00014-21-1-2599 |
Keywords
- Method of moments
- circuit model
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation