On MLMDA/Butterfly Compressibility of Inverse Integral Operators

The multilevel matrix decomposition algorithm (MLMDA) is shown to permit effective compression of inverse integral operators pertinent to the analysis of scattering from electrically large structures. Observed compression ratios exceed those realized by low-rank (LR) compression methods, leading to...

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Veröffentlicht in:IEEE antennas and wireless propagation letters Jg. 12; S. 31 - 34
Hauptverfasser: Guo, Han, Hu, Jun, Michielssen, Eric
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 2013
Schlagworte:
Approximation methods
Butterfly algorithms
direct solver
Educational institutions
Electromagnetic scattering
Integral equations
Matrix decomposition
Memory management
multilevel matrix decomposition
ISSN:1536-1225, 1548-5757
Online-Zugang:Volltext
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Zusammenfassung:The multilevel matrix decomposition algorithm (MLMDA) is shown to permit effective compression of inverse integral operators pertinent to the analysis of scattering from electrically large structures. Observed compression ratios exceed those realized by low-rank (LR) compression methods, leading to substantial memory savings and a faster application of the inverse operator, and suggesting a new application for schemes traditionally used for compressing forward integral operators.
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2012.2234433