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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| Published in: | IEEE antennas and wireless propagation letters Vol. 12; pp. 31 - 34 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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2013
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| ISSN: | 1536-1225, 1548-5757 |
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| 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. |
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| AbstractList | 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. |
| Author | Hu, Jun Guo, Han Michielssen, Eric |
| Author_xml | – sequence: 1 givenname: Han surname: Guo fullname: Guo, Han email: guohan_uestc@163.com organization: Department of Microwave Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China – sequence: 2 givenname: Jun surname: Hu fullname: Hu, Jun email: hujun@uestc.edu.cn organization: Department of Microwave Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China – sequence: 3 givenname: Eric surname: Michielssen fullname: Michielssen, Eric email: emichiel@umich.edu organization: Radiation Laboratory, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA |
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| Snippet | The multilevel matrix decomposition algorithm (MLMDA) is shown to permit effective compression of inverse integral operators pertinent to the analysis of... |
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| StartPage | 31 |
| SubjectTerms | Approximation methods Butterfly algorithms direct solver Educational institutions Electromagnetic scattering Integral equations Matrix decomposition Memory management multilevel matrix decomposition |
| Title | On MLMDA/Butterfly Compressibility of Inverse Integral Operators |
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