Randomized Covering Algorithms
Randomized Covering Algorithms is a computational method in randomized geometric algorithms that distinguishes itself by probabilistically selecting and combining geometric elements to efficiently construct a cover with guaranteed approximation bounds.
128
Publications
6K
Citations
264
Authors
152
Institutions
Publications per year
2017–2026
8
128
A deterministic view of random sampling and its use in geometry
Bernard Chazelle, Joel Friedman · COMBINATORICA · 1990 · 258 citations
Separators for sphere-packings and nearest neighbor graphs
Gary L. Miller, Shang‐Hua Teng, William P. Thurston et al. · Journal of the ACM · 1997 · 223 citations · Full text
1–5 of 128
264
4
h-index
4
h-index
3
h-index
Laboratoire d’Informatique Fondamentale de Marseille, France
2 publications · 38 citations
2
h-index
2
h-index
1–5 of 264
152

Hungarian Academy of Sciences
Budapest, Hungary
6 h-index
9 publications
671 citations

Tel Aviv University
Tel Aviv, Israel
6 h-index
8 publications
179 citations
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
389 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
8 publications
430 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
476 citations
Hebrew University of Jerusalem
Jerusalem, Israel
4 h-index
6 publications
243 citations

Cornell University
Ithaca, United States
4 h-index
5 publications
310 citations
New York University
New York, United States
4 h-index
4 publications
249 citations
1–8 of 152
10 publications · 327 citations
10
h-index
8 publications · 182 citations
8
h-index
7 publications · 421 citations
7
h-index
5 publications · 122 citations
5
h-index
4 publications · 97 citations
4
h-index
1–5