Randomized Closest Pair Algorithms
Randomized Closest Pair Algorithms is a computational method within randomized geometric algorithms that solves the closest pair problem by employing randomization techniques to achieve efficient expected-time performance in finding the pair of points with minimum distance in a metric space.
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Publications
1.2K
Citations
57
Authors
49
Institutions
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2017–2026
2
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A Reliable Randomized Algorithm for the Closest-Pair Problem
Martin Dietzfelbinger, Torben Hagerup, Jyrki Katajainen et al. · Journal of Algorithms · 1997 · 204 citations
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Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 38 citations
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2
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1–5 of 57
49
Max Planck Society
Munich, Germany
3 h-index
6 publications
269 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
164 citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
173 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
2 h-index
4 publications
240 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
4 publications
366 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
183 citations
Duke University
Durham, United States
2 h-index
2 publications
183 citations
Stanford University
Stanford, United States
2 h-index
4 publications
149 citations
1–8 of 49
2 publications · 28 citations
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Conference · 2 publications · 43 citations
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2 publications · 274 citations
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JACM · 2 publications · 79 citations
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2 publications · 28 citations
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