Integer Programming Relaxations

Integer Programming Relaxation is a mathematical optimization problem formed by removing the integrality constraints from an integer program, thereby allowing continuous solutions, while preserving the objective function and remaining constraints to provide a bounding approximation for the original discrete problem.

912

Publications

76.4K

Citations

1.8K

Authors

725

Institutions

Publications per year

2017–2026

141

Variants

Integer Programming Relaxation

Authors

1.8K

  1. LA
    Laurence A. Wolsey

    UCLouvain, Belgium

    18 publications · 6.7K citations

    17

    h-index

  2. MS
    Martin Savelsbergh

    Georgia Institute of Technology, United States

    14 publications · 4K citations

    14

    h-index

  3. GL
    George L. Nemhauser

    Georgia Institute of Technology, United States

    13 publications · 8.6K citations

    12

    h-index

  4. RW
    Robert Weismantel

    Otto-von-Guericke-Universität Magdeburg, Germany

    9 publications · 253 citations

    9

    h-index

  5. FG
    Fred Glover

    University of Colorado Boulder, United States

    8 publications · 4.3K citations

    8

    h-index

1–5 of 1.8K

Venues

  1. Mathematical Programming

    77 publications · 7.5K citations

    40

    h-index

  2. Operations Research

    46 publications · 8K citations

    36

    h-index

  3. European Journal of Operational Research

    54 publications · 2.7K citations

    27

    h-index

  4. INFORMS journal on computing

    39 publications · 2.5K citations

    25

    h-index

  5. Management Science

    23 publications · 4.6K citations

    21

    h-index

1–5