Best-case Complexity
Best-Case Complexity is the computational complexity measure that characterizes the minimum asymptotic time or space required by an algorithm to solve a problem under the most favorable input conditions of a given size.
42
Publications
2.9K
Citations
91
Authors
64
Institutions
Publications per year
2017–2026
6
Parents
42
Fast condensed nearest neighbor rule
Fabrizio Angiulli · 2005 · 147 citations
Efficient LCA based keyword search in XML data
Yu Xu, Yannis Papakonstantinou · 2008 · 119 citations · Full text
1–5 of 42
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University of California San Diego, United States
3 publications · 147 citations
3
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2
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1–5 of 91
64

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
63 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
6 publications
143 citations
Teradata (United States)
San Diego, United States
3 h-index
3 publications
147 citations
University of California San Diego
San Diego, United States
3 h-index
3 publications
147 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
2 h-index
2 publications
43 citations

Télécom Paris
Palaiseau, France
2 h-index
2 publications
43 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
90 citations
Université Savoie Mont Blanc
Chambéry, France
2 h-index
2 publications
30 citations
1–8 of 64
3 publications · 97 citations
3
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Repository · 2 publications · 28 citations
2
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1 publications · 17 citations
1
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TOCL · 1 publications · 15 citations
1
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TPAMI · 1 publications · 30 citations
1
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