Set Cover Approximation

Set Cover Approximation is a computational optimization method that belongs to the class of approximation algorithms, specifically distinguished by its use of greedy or LP-based techniques to efficiently compute a near-optimal collection of sets whose union covers a given ground set while minimizing the number of sets selected.

395

Publications

26.6K

Citations

764

Authors

373

Institutions

Publications per year

2017–2026

69

Authors

764

  1. SK
    Samir Khuller

    University of Maryland, College Park, United States

    6 publications · 2.3K citations

    6

    h-index

  2. JZ
    Jianming Zhan

    Minzu University of China, China

    6 publications · 555 citations

    6

    h-index

  3. KV
    Kasturi Varadarajan

    University of Iowa, United States

    5 publications · 383 citations

    6

    h-index

  4. SH
    Sariel Har-Peled

    University of Illinois Urbana-Champaign, United States

    6 publications · 201 citations

    6

    h-index

  5. JL
    Jinjin Li

    Minnan Normal University, China

    5 publications · 167 citations

    5

    h-index

1–5 of 764

Venues

  1. Information Sciences

    25 publications · 2.7K citations

    21

    h-index

  2. Algorithmica

    15 publications · 2.3K citations

    15

    h-index

  3. Theoretical Computer Science

    18 publications · 527 citations

    14

    h-index

  4. Discrete Applied Mathematics

    13 publications · 505 citations

    13

    h-index

  5. International Journal of Approximate Reasoning

    11 publications · 541 citations

    11

    h-index

1–5