Randomized Covering Algorithms

Randomized Covering Algorithms is a computational method in randomized geometric algorithms that distinguishes itself by probabilistically selecting and combining geometric elements to efficiently construct a cover with guaranteed approximation bounds.

128

Publications

6K

Citations

264

Authors

152

Institutions

Publications per year

2017–2026

8

Authors

264

  1. PK
    Pankaj K. Agarwal

    Duke University, United States

    4 publications · 139 citations

    4

    h-index

  2. BA
    Boris Aronov

    New York University, United States

    4 publications · 249 citations

    4

    h-index

  3. NB
    Nikhil Bansal

    IBM (United States), United States

    3 publications · 81 citations

    3

    h-index

  4. BE
    Bertrand Estellon

    Laboratoire d’Informatique Fondamentale de Marseille, France

    2 publications · 38 citations

    2

    h-index

  5. MS
    Micha Sharir

    Tel Aviv University, Israel

    2 publications · 80 citations

    2

    h-index

1–5 of 264

Venues

  1. Theoretical Computer Science

    10 publications · 327 citations

    10

    h-index

  2. Discrete Mathematics

    8 publications · 182 citations

    8

    h-index

  3. Discrete & Computational Geometry

    7 publications · 421 citations

    7

    h-index

  4. Information Processing Letters

    5 publications · 122 citations

    5

    h-index

  5. Designs Codes and Cryptography

    4 publications · 97 citations

    4

    h-index

1–5