Optimization Under Constraints

Optimization Under Constraints is a mathematical framework within geometric optimization that seeks to minimize or maximize an objective function over a feasible region defined by explicit equality and inequality constraints restricting the allowable values of the variables.

662

Publications

45.2K

Citations

1.2K

Authors

566

Institutions

Publications per year

2017–2026

83

Authors

1.2K

  1. GD
    Gianni Di Pillo

    Sapienza University of Rome, Italy

    8 publications · 563 citations

    8

    h-index

  2. EP
    E. Polak

    University of California, Berkeley, United States

    7 publications · 385 citations

    7

    h-index

  3. JM
    J. M. Martı́nez

    Universidade Estadual de Campinas (UNICAMP), Brazil

    7 publications · 325 citations

    7

    h-index

  4. JJ
    Jane J. Ye

    University of Victoria, Canada

    6 publications · 335 citations

    6

    h-index

  5. YY
    Ya-xiang Yuan

    Chinese Academy of Sciences, China

    6 publications · 409 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. SIAM Journal on Optimization

    58 publications · 5K citations

    34

    h-index

  2. Journal of Optimization Theory and Applications

    36 publications · 1.3K citations

    21

    h-index

  3. Mathematical Programming

    24 publications · 1.6K citations

    19

    h-index

  4. SIAM Journal on Control and Optimization

    17 publications · 1.6K citations

    17

    h-index

  5. Optimization

    24 publications · 867 citations

    16

    h-index

1–5