Abstract
It has been observed that the memory requirements associated with H 2 representations of integral equation matrices can be reduced by incorporating translational invariance. This can be accomplished for a non-translationally invariant boldsymbolH 2 representation using a left/right iterative algorithm. In this paper, it is shown that a similar algorithm can also be used to compress an existing fast multipole method (FMM). It is observed that the iterative compression converges faster when used to compress an FMM than when it is applied to an boldsymbolH 2 representation.
| Original language | English |
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| Title of host publication | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023 |
| ISBN (Electronic) | 9781733509633 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023 - Monterey, United States Duration: Mar 26 2023 → Mar 30 2023 |
Publication series
| Name | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023 |
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Conference
| Conference | 2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023 |
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| Country/Territory | United States |
| City | Monterey |
| Period | 3/26/23 → 3/30/23 |
Bibliographical note
Publisher Copyright:© 2023 ACES.
Keywords
- fast multipole method
- integral equation
ASJC Scopus subject areas
- Computational Mathematics
- Instrumentation
- Radiation
- Computer Networks and Communications
- Signal Processing