Maximum Independent Set Approximation

Maximum Independent Set Approximation is an approximation algorithm that belongs to the class of polynomial-time algorithms designed for NP-hard optimization problems, specifically distinguished by its objective to find an independent set of vertices in a graph with a size that is guaranteed to be within a certain approximation ratio of the maximum possible size.

263

Publications

14.8K

Citations

555

Authors

285

Institutions

Publications per year

2017–2026

54

Authors

555

  1. AA
    Anna Adamaszek

    University of Copenhagen, Denmark

    6 publications · 161 citations

    6

    h-index

  2. VT
    Vangélis Th. Paschos

    Université Paris Dauphine-PSL, France

    6 publications · 191 citations

    6

    h-index

  3. AW
    Andreas Wiese

    Technische Universität Berlin, Germany

    6 publications · 157 citations

    6

    h-index

  4. MM
    Magnús M. Halldórsson

    Reykjavík University, Iceland

    6 publications · 593 citations

    6

    h-index

  5. KC
    Keren Censor-Hillel

    Technion – Israel Institute of Technology, Israel

    6 publications · 157 citations

    6

    h-index

1–5 of 555

Venues

  1. Information Processing Letters

    10 publications · 985 citations

    10

    h-index

  2. Discrete Applied Mathematics

    10 publications · 558 citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 11 publications · 236 citations

    10

    h-index

  4. SIAM Journal on Computing

    8 publications · 799 citations

    8

    h-index

  5. Journal of Algorithms

    7 publications · 1.4K citations

    7

    h-index

1–5