Complementary Slackness

Complementary Slackness is a fundamental optimality condition in linear programming that specifies the relationship between the primal and dual variables, requiring that for each pair of corresponding primal and dual constraints, either the primal variable or its associated dual slack variable must be zero at optimality.

76

Publications

6.2K

Citations

157

Authors

93

Institutions

Publications per year

2017–2026

11

Authors

157

  1. MG
    Mika Goto

    New Mexico Institute of Mining and Technology, United States

    5 publications · 318 citations

    5

    h-index

  2. TS
    Toshiyuki Sueyoshi

    New Mexico Institute of Mining and Technology, United States

    5 publications · 318 citations

    5

    h-index

  3. BB
    Bernard Brogliato

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 167 citations

    3

    h-index

  4. AY
    Alp Yurtsever

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 31 citations

    2

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  5. RF
    Reza Farzipoor Saen

    Islamic Azad University, Karaj, Iran

    2 publications · 44 citations

    2

    h-index

1–5 of 157

Venues

  1. Operations Research

    6 publications · 685 citations

    6

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  2. European Journal of Operational Research

    5 publications · 1.3K citations

    5

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  3. SIAM Journal on Optimization

    5 publications · 266 citations

    5

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  4. Mathematical Programming

    3 publications · 86 citations

    3

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  5. Energy Economics

    3 publications · 157 citations

    3

    h-index

1–5