Cut-flow Duality

Cut-Flow Duality is a theoretical principle in network flow algorithms that establishes the equivalence between the maximum value of a flow in a network and the minimum capacity of a cut separating the source from the sink.

38

Publications

2.4K

Citations

82

Authors

54

Institutions

Publications per year

2017–2026

4

Authors

82

  1. EZ
    Eitan Zemel

    Northwestern University, United States

    2 publications · 229 citations

    2

    h-index

  2. EK
    Ehud Kalai

    Northwestern University, United States

    2 publications · 229 citations

    2

    h-index

  3. AM
    Aleksander Mądry

    Massachusetts Institute of Technology, United States

    2 publications · 94 citations

    2

    h-index

  4. PS
    Paul Seymour

    Princeton University, United States

    2 publications · 168 citations

    2

    h-index

  5. AB
    Allon Bloch

    Ariel University, Israel

    1 publications · 21 citations

    1

    h-index

1–5 of 82

Venues

  1. Algorithmica

    3 publications · 187 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 41 citations

    3

    h-index

  3. Mathematics of Operations Research

    2 publications · 231 citations

    2

    h-index

  4. Discrete Applied Mathematics

    2 publications · 28 citations

    2

    h-index

  5. Discrete Mathematics

    2 publications · 34 citations

    2

    h-index

1–5