Nonlinear Complementarity Problems

Nonlinear Complementarity Problems is a mathematical framework in nonlinear programming that seeks to find a vector satisfying the conditions that a given nonlinear function evaluated at the vector is nonnegative, the vector itself is nonnegative, and the component-wise product of the vector and the function values is zero.

790

Publications

47.5K

Citations

949

Authors

499

Institutions

Publications per year

2017–2026

123

Variants

Ncp

Authors

949

  1. LQ
    Liqun Qi

    Hong Kong Polytechnic University, Hong Kong SAR China

    28 publications · 2K citations

    23

    h-index

  2. JP
    Jong‐Shi Pang

    Johns Hopkins University, United States

    29 publications · 5.2K citations

    21

    h-index

  3. CK
    Christian Kanzow

    University of Würzburg, Germany

    24 publications · 2K citations

    20

    h-index

  4. MF
    Masao Fukushima

    Kyoto University, Japan

    23 publications · 1.5K citations

    19

    h-index

  5. JC
    Jein-Shan Chen

    National Taiwan Normal University, Taiwan

    24 publications · 969 citations

    17

    h-index

1–5 of 949

Venues

  1. Mathematical Programming

    59 publications · 7.6K citations

    39

    h-index

  2. SIAM Journal on Optimization

    67 publications · 5.7K citations

    39

    h-index

  3. Journal of Optimization Theory and Applications

    77 publications · 4.1K citations

    33

    h-index

  4. Mathematics of Operations Research

    42 publications · 4K citations

    29

    h-index

  5. Computational Optimization and Applications

    33 publications · 1.8K citations

    21

    h-index

1–5