Complementarity Problems

Complementarity Problems is a mathematical framework within constrained optimization and variational inequalities that characterizes the conditions under which two vectors are orthogonal and element-wise nonnegative, with at least one vector having a zero component wherever the other has a positive value, thereby modeling equilibrium constraints in optimization and economic systems.

1.8K

Publications

106.5K

Citations

2.1K

Authors

1K

Institutions

Publications per year

2017–2026

284

Authors

2.1K

  1. JP
    Jong‐Shi Pang

    Johns Hopkins University, United States

    58 publications · 7.4K citations

    33

    h-index

  2. CK
    Christian Kanzow

    University of Würzburg, Germany

    37 publications · 3.2K citations

    30

    h-index

  3. MF
    Masao Fukushima

    Kyoto University, Japan

    35 publications · 2.3K citations

    25

    h-index

  4. OL
    O. L. Mangasarian

    University of Wisconsin–Madison, United States

    28 publications · 3.8K citations

    24

    h-index

  5. LQ
    Liqun Qi

    Hong Kong Polytechnic University, Hong Kong SAR China

    29 publications · 2.1K citations

    23

    h-index

1–5 of 2.1K

Venues

  1. Mathematical Programming

    138 publications · 11.6K citations

    54

    h-index

  2. SIAM Journal on Optimization

    119 publications · 8.8K citations

    51

    h-index

  3. Journal of Optimization Theory and Applications

    143 publications · 7.3K citations

    45

    h-index

  4. Mathematics of Operations Research

    64 publications · 4.6K citations

    35

    h-index

  5. Optimization methods & software

    44 publications · 3K citations

    26

    h-index

1–5