Negi, YK and Padhy, VP and Balakrishnan, N (2020) Re-Compressed H-Matrices for Fast Electric Field Integral Equation. In: 6th IEEE International Conference on Computational Electromagnetics, ICCEM 2020, 24-26 Aug 2020, Singapore, pp. 176-177.
![]() |
PDF
iee_int_con_com_ele_176-177_2020.pdf - Published Version Restricted to Registered users only Download (457kB) | Request a copy |
Abstract
In this paper, an improved Re-Compressed H- Matrix is presented. Improvement with respect to accuracy and memory saving is shown compared to conventional H-Matrix. Improvement is obtained by extracting the orthogonal components of the compressed matrices for higher error tolerance and re-compressing it with Singular Value Decomposition (SVD) for the desired tolerance. The method maintains the compression cost of r2 (m + n) , storage and matrix-vector product cost of r(m + n) for a low-rank matrix block of rank r and size mXn. © 2020 IEEE.
Item Type: | Conference Paper |
---|---|
Publication: | Proceedings of the 2020 IEEE International Conference on Computational Electromagnetics, ICCEM 2020 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Electric fields; Integral equations; Singular value decomposition, Electric field integral equation; Error tolerance; H matrix; H-matrices; Low-rank matrices; Matrix-vector products; Memory savings; Orthogonal components, Computational electromagnetics |
Department/Centre: | Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre |
Date Deposited: | 16 Feb 2021 10:57 |
Last Modified: | 16 Feb 2021 10:57 |
URI: | http://eprints.iisc.ac.in/id/eprint/67399 |
Actions (login required)
![]() |
View Item |