Cut Algorithms
Cut Algorithms is a class of graph algorithms that identify and compute minimal edge separations, or cuts, which partition a graph into disjoint subsets while minimizing the total weight of edges removed, thereby solving connectivity and flow optimization problems in networks.
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1.6K
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661
Institutions
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2017–2026
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University of California, Berkeley
Berkeley, United States
21 h-index
45 publications
7K citations
Princeton University
Princeton, United States
20 h-index
30 publications
4.9K citations
Carnegie Mellon University
Pittsburgh, United States
18 h-index
44 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
16 h-index
27 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
29 publications
766 citations
Georgia Institute of Technology
Atlanta, United States
14 h-index
29 publications
2.4K citations
Microsoft (United States)
Redmond, United States
13 h-index
23 publications
2.6K citations

Tel Aviv University
Tel Aviv, Israel
13 h-index
20 publications
1.1K citations
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