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Re-Compressed H-Matrices for Fast Electric Field Integral Equation
- Source :
- 2020 IEEE International Conference on Computational Electromagnetics (ICCEM).
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
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.
- Subjects :
- Rank (linear algebra)
020208 electrical & electronic engineering
MathematicsofComputing_NUMERICALANALYSIS
020206 networking & telecommunications
02 engineering and technology
Electric-field integral equation
Integral equation
Matrix (mathematics)
Compression (functional analysis)
Product (mathematics)
Singular value decomposition
0202 electrical engineering, electronic engineering, information engineering
Applied mathematics
Block (data storage)
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Computational Electromagnetics (ICCEM)
- Accession number :
- edsair.doi...........9ef324b67908a5b8a266b7335b9a2e5e
- Full Text :
- https://doi.org/10.1109/iccem47450.2020.9219412