Randomized Closest Pair Algorithms

Randomized Closest Pair Algorithms is a computational method within randomized geometric algorithms that solves the closest pair problem by employing randomization techniques to achieve efficient expected-time performance in finding the pair of points with minimum distance in a metric space.

25

Publications

1.2K

Citations

57

Authors

49

Institutions

Publications per year

2017–2026

2

Authors

57

  1. RR
    Rajeev Raman

    University of Leicester, United Kingdom

    3 publications · 38 citations

    3

    h-index

  2. CS
    Christian Schwarz

    Friedrich Schiller University Jena, Germany

    3 publications · 38 citations

    3

    h-index

  3. MJ
    Mordecai J. Golin

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 38 citations

    3

    h-index

  4. OS
    Otfried Schwarzkopf

    Utrecht University, Netherlands

    2 publications · 183 citations

    2

    h-index

  5. YG
    Yan Gu

    Qingdao University, China

    2 publications · 60 citations

    2

    h-index

1–5 of 57

Venues

  1. SIAM Journal on Computing

    2 publications · 28 citations

    2

    h-index

  2. Symposium on Discrete Algorithms

    Conference · 2 publications · 43 citations

    2

    h-index

  3. Discrete & Computational Geometry

    2 publications · 274 citations

    2

    h-index

  4. Journal of the ACM

    JACM · 2 publications · 79 citations

    2

    h-index

  5. Discrete Applied Mathematics

    2 publications · 28 citations

    2

    h-index

1–5