Parameterized Algorithms For Packing Problems

Parameterized Algorithms for Packing Problems is a systematic framework within parameterized algorithmics that addresses combinatorial packing problems by confining problem complexity to a specific parameter, thereby enabling efficient exact solutions when the parameter is fixed or small.

40

Publications

1.9K

Citations

80

Authors

55

Institutions

Publications per year

2017–2026

7

Authors

80

  1. KJ
    Klaus Jansen

    Christian-Albrechts-Universität zu Kiel, Germany

    3 publications · 80 citations

    3

    h-index

  2. JC
    Jianer Chen

    Texas A&M University, United States

    3 publications · 159 citations

    3

    h-index

  3. TT
    Till Tantau

    University of Lübeck, Germany

    2 publications · 25 citations

    2

    h-index

  4. GZ
    Guochuan Zhang

    Zhejiang University, China

    2 publications · 26 citations

    2

    h-index

  5. MK
    Mikko Koivisto

    University of Helsinki, Finland

    2 publications · 120 citations

    2

    h-index

1–5 of 80

Venues

  1. Algorithmica

    4 publications · 138 citations

    4

    h-index

  2. Journal of Combinatorial Optimization

    3 publications · 77 citations

    3

    h-index

  3. Discrete Mathematics

    2 publications · 104 citations

    2

    h-index

  4. ACM Transactions on Algorithms

    TALG · 2 publications · 35 citations

    2

    h-index

  5. Information Processing Letters

    2 publications · 103 citations

    2

    h-index

1–5