Adaptive Cross Approximation is a matrix compression technique within numerical linear algebra that approximates hierarchically block-separable matrices by adaptively selecting pivotal rows and columns to achieve efficient low-rank representations while preserving accuracy.
90
Publications
4.5K
Citations
197
Authors
104
Institutions
Publications per year
2017–2026
23
Variants
Aca
Parents
Publications
90
Rob Maaskant, R. Mittra, A.G. Tijhuis · IEEE Transactions on Antennas and Propagation · 2008 · 219 citations
Engineering, Computational Engineering, Electrical Engineering +17
1–5 of 90
Authors
197
- AH
7
h-index
- JM
7
h-index
- EÚ
6
h-index
- SR
6
h-index
- XC
5
h-index
1–5 of 197
Institutions
104
Saarland University
Saarbrücken, Germany
7 h-index
8 publications
453 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
7 h-index
22 publications
1.1K citations
Nanjing University of Aeronautics and Astronautics
Nanjing, China
7 h-index
28 publications
737 citations
Nanjing University of Science and Technology
Nanjing, China
4 h-index
13 publications
316 citations
The Ohio State University
Columbus, United States
4 h-index
10 publications
2.5K citations
Vaughn College of Aeronautics and Technology
New York, United States
3 h-index
3 publications
108 citations
ABB (Switzerland)
Zurich, Switzerland
3 h-index
10 publications
246 citations
KU Leuven
Leuven, Belgium
3 h-index
7 publications
102 citations
1–8 of 104
Venues
- IEEE Transactions on Antennas and Propagation
24 publications · 1.2K citations
18
h-index
- IEEE Transactions on Magnetics
9 publications · 431 citations
9
h-index
- IEEE Transactions on Electromagnetic Compatibility
4 publications · 733 citations
4
h-index
- IET Microwaves Antennas & Propagation
4 publications · 63 citations
4
h-index
- International Journal for Numerical Methods in Engineering
3 publications · 108 citations
3
h-index
1–5