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
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;
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2012.2234433
