Lagrange Multipliers

Lagrange Multipliers is a mathematical method in optimization theory that introduces auxiliary variables, called Lagrange multipliers, to transform a constrained optimization problem into an unconstrained one by incorporating the constraints into the objective function via a linear combination, thereby enabling the identification of stationary points under equality constraints.

2.3K

Publications

151.2K

Citations

4.4K

Authors

1.5K

Institutions

Publications per year

2017–2026

419

Authors

4.4K

  1. CF
    Charbel Farhat

    Stanford University, United States

    28 publications · 3.5K citations

    22

    h-index

  2. BW
    Barbara Wohlmuth

    Technical University of Munich, Germany

    24 publications · 1.9K citations

    18

    h-index

  3. KC
    K. C. Park

    University of Colorado Boulder, United States

    21 publications · 993 citations

    15

    h-index

  4. RT
    Radek Tezaur

    Stanford University, United States

    14 publications · 641 citations

    13

    h-index

  5. XY
    Xiaoqi Yang

    Hong Kong Polytechnic University, Hong Kong SAR China

    11 publications · 365 citations

    11

    h-index

1–5 of 4.4K

Venues

  1. 44

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  2. IEEE Transactions on Power Systems

    49 publications · 3.7K citations

    33

    h-index

  3. SIAM Journal on Optimization

    37 publications · 2K citations

    26

    h-index

  4. Journal of Optimization Theory and Applications

    44 publications · 2.1K citations

    24

    h-index

  5. SIAM Journal on Numerical Analysis

    33 publications · 2.3K citations

    24

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1–5