Parametric Linear Programming

Parametric Linear Programming is a method in mathematical optimization that extends linear programming by systematically analyzing how optimal solutions vary as objective function coefficients or constraint parameters change continuously within specified ranges.

273

Publications

15.2K

Citations

509

Authors

263

Institutions

Publications per year

2017–2026

31

Authors

509

  1. EN
    Efstratios N. Pistikopoulos

    Imperial College London, United Kingdom

    10 publications · 738 citations

    10

    h-index

  2. SO
    Sorin Olaru

    Supélec, France

    7 publications · 119 citations

    7

    h-index

  3. PR
    Pedro Rodríguez-Ayerbe

    CentraleSupélec, France

    6 publications · 97 citations

    6

    h-index

  4. GL
    Gerald L. Thompson

    Carnegie Mellon University, United States

    5 publications · 154 citations

    5

    h-index

  5. NA
    Ngoc Anh Nguyen

    CentraleSupélec, France

    5 publications · 81 citations

    5

    h-index

1–5 of 509

Venues

  1. European Journal of Operational Research

    19 publications · 686 citations

    16

    h-index

  2. Management Science

    15 publications · 1.3K citations

    15

    h-index

  3. Mathematical Programming

    10 publications · 669 citations

    10

    h-index

  4. Operations Research

    9 publications · 1.6K citations

    9

    h-index

  5. Naval Research Logistics Quarterly

    7 publications · 687 citations

    7

    h-index

1–5