DocumentCode
104273
Title
On MLMDA/Butterfly Compressibility of Inverse Integral Operators
Author
Han Guo ; Jun Hu ; Michielssen, Eric
Author_Institution
Dept. of Microwave Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
12
fYear
2013
fDate
2013
Firstpage
31
Lastpage
34
Abstract
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.
Keywords
antennas; matrix decomposition; MLMDA; butterfly compressibility; compression ratios; inverse integral operators; low-rank compression methods; multilevel matrix decomposition algorithm; Approximation methods; Educational institutions; Electromagnetic scattering; Integral equations; Matrix decomposition; Memory management; Butterfly algorithms; direct solver; integral equations; multilevel matrix decomposition;
fLanguage
English
Journal_Title
Antennas and Wireless Propagation Letters, IEEE
Publisher
ieee
ISSN
1536-1225
Type
jour
DOI
10.1109/LAWP.2012.2234433
Filename
6392850
Link To Document