Maximum Concurrent Flow

Maximum Concurrent Flow is a network flow optimization problem that belongs to the class of multicommodity flow problems, distinguished by its objective of maximizing the minimum fraction of demand satisfied across all source-sink pairs simultaneously in a given capacitated network.

44

Publications

3.3K

Citations

89

Authors

56

Institutions

Publications per year

2017–2026

3

Authors

89

  1. DB
    Daniel Bienstock

    Columbia University, United States

    3 publications · 99 citations

    3

    h-index

  2. JA
    Jonathan A. Kelner

    Massachusetts Institute of Technology, United States

    3 publications · 227 citations

    3

    h-index

  3. NG
    Naveen Garg

    Indian Institute of Technology Delhi, India

    3 publications · 901 citations

    3

    h-index

  4. DW
    David W. Matula

    Southern Methodist University, United States

    3 publications · 466 citations

    3

    h-index

  5. SK
    Sanjeev Khanna

    University of Pennsylvania, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 89

Venues

  1. SIAM Journal on Computing

    3 publications · 612 citations

    3

    h-index

  2. SIAM Journal on Discrete Mathematics

    3 publications · 381 citations

    3

    h-index

  3. Journal of the ACM

    JACM · 2 publications · 482 citations

    2

    h-index

  4. Networks

    2 publications · 34 citations

    2

    h-index

  5. Optimization Letters

    2 publications · 25 citations

    2

    h-index

1–5