Parametric Flow

Parametric Flow is a network flow model in which edge capacities are defined as parametric functions of a common parameter, distinguishing it from static flow models by enabling the analysis of flow variations under continuously changing capacity constraints.

57

Publications

4.3K

Citations

127

Authors

83

Institutions

Publications per year

2017–2026

12

Authors

127

  1. AV
    Andrew V. Goldberg

    Stanford University, United States

    3 publications · 516 citations

    3

    h-index

  2. YK
    Yoshinobu Kawahara

    The University of Osaka, Japan

    2 publications · 101 citations

    2

    h-index

  3. YW
    Yizhou Wang

    Peking University, China

    2 publications · 101 citations

    2

    h-index

  4. GR
    Günther Ruhe

    University of Calgary, Canada

    2 publications · 56 citations

    2

    h-index

  5. JB
    James B. Orlin

    Massachusetts Institute of Technology, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 127

Venues

  1. Operations Research

    2 publications · 256 citations

    2

    h-index

  2. Mathematical Methods of Operations Research

    2 publications · 57 citations

    2

    h-index

  3. 2

    h-index

  4. Optimization

    1 publications · 11 citations

    1

    h-index

  5. Annals of Operations Research

    1 publications · 18 citations

    1

    h-index

1–5