Randomized Intersection Algorithms

Randomized Intersection Algorithms is a computational method in computational geometry that uses probabilistic techniques to efficiently determine intersections among line segments by introducing randomization in the processing order or data structure selection to achieve expected optimal time complexity.

55

Publications

2K

Citations

98

Authors

55

Institutions

Publications per year

2017–2026

0

Authors

98

  1. SH
    Sariel Har-Peled

    University of Illinois Urbana-Champaign, United States

    2 publications · 45 citations

    2

    h-index

  2. DH
    David H. Marimont

    Palo Alto Research Center, United States

    2 publications · 68 citations

    2

    h-index

  3. HK
    Haim Kaplan

    Tel Aviv University, Israel

    2 publications · 66 citations

    2

    h-index

  4. LG
    Leonidas Guibas

    Stanford University, United States

    2 publications · 68 citations

    2

    h-index

  5. EJ
    Elizabeth J. Billington

    The University of Queensland, Australia

    2 publications · 31 citations

    2

    h-index

1–5 of 98

Venues

  1. Computational Geometry

    5 publications · 193 citations

    5

    h-index

  2. SIAM Journal on Computing

    5 publications · 231 citations

    5

    h-index

  3. Theoretical Computer Science

    3 publications · 93 citations

    3

    h-index

  4. ACM Transactions on Algorithms

    TALG · 3 publications · 108 citations

    3

    h-index

  5. Journal of Algorithms

    3 publications · 184 citations

    3

    h-index

1–5