Randomized Time Complexity
Randomized Time Complexity is a computational complexity measure that characterizes the asymptotic time required by a randomized algorithm to solve a problem, distinguished from deterministic time complexity by incorporating probabilistic transitions and expected or high-probability performance bounds over random choices made during execution.
55
Publications
2.7K
Citations
107
Authors
72
Institutions
Publications per year
2017–2026
6
Parents
55
Maximal independent sets in radio networks
Thomas Moscibroda, Rogert Wattenhofer · 2005 · 125 citations
A Bluetooth scatternet formation algorithm
Ching Law, Kai‐Yeung Siu · 2002 · 108 citations
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72
Stanford University
Stanford, United States
5 h-index
6 publications
481 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
8 publications
324 citations
Max Planck Society
Munich, Germany
3 h-index
3 publications
100 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
5 publications
203 citations

Weizmann Institute of Science
Rehovot, Israel
2 h-index
2 publications
55 citations

Lund University
Lund, Sweden
2 h-index
2 publications
30 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
48 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
92 citations
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8 publications · 296 citations
8
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2 publications · 486 citations
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2 publications · 60 citations
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CSDA · 1 publications · 11 citations
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1 publications · 16 citations
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