Randomized Packing Algorithms
Randomized Packing Algorithms is a class of algorithmic methods in computational geometry that employs randomization to efficiently construct or approximate arrangements of geometric objects within a given space, distinguishing itself by leveraging probabilistic strategies to achieve improved performance or simplicity in packing configurations compared to deterministic counterparts.
78
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3.4K
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174
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111
Institutions
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2017–2026
8
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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
Randomized Rounding without Solving the Linear Program
1995 · 183 citations
The minimum degree threshold for perfect graph packings
Daniela Kühn, Deryk Osthus · COMBINATORICA · 2009 · 161 citations
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Texas A&M University
College Station, United States
3 h-index
7 publications
350 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
125 citations

University of Alberta
Edmonton, Canada
3 h-index
4 publications
149 citations

Tokyo Denki University
Tokyo, Japan
3 h-index
5 publications
94 citations
Princeton University
Princeton, United States
3 h-index
6 publications
734 citations

Cornell University
Ithaca, United States
2 h-index
3 publications
303 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
36 citations

Lund University
Lund, Sweden
2 h-index
4 publications
240 citations
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7 publications · 282 citations
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6 publications · 207 citations
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6 publications · 170 citations
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3 publications · 51 citations
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