Geometric Duality

Geometric Duality is a mathematical transformation in computational geometry that maps points to lines and lines to points in such a way that incidence and alignment relationships are preserved, enabling the reformulation of geometric problems—particularly in intersection detection—into dual spaces where algorithmic solutions may be more efficiently derived.

231

Publications

14.9K

Citations

401

Authors

223

Institutions

Publications per year

2017–2026

27

Authors

401

  1. EW
    Edward Witten

    Institute for Advanced Study, United States

    4 publications · 105 citations

    4

    h-index

  2. IM
    Ivan Mirković

    University of Massachusetts Amherst, United States

    4 publications · 632 citations

    4

    h-index

  3. LG
    Leonidas Guibas

    Stanford University, United States

    4 publications · 572 citations

    4

    h-index

  4. GJ
    Gwanggil Jeon

    Incheon National University, South Korea

    3 publications · 67 citations

    3

    h-index

  5. RJ
    R. J. Duffin

    Carnegie Mellon University, United States

    3 publications · 219 citations

    3

    h-index

1–5 of 401

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 286 citations

    9

    h-index

  2. ArXiv.org

    Repository · 6 publications · 1.2K citations

    6

    h-index

  3. Mathematical Programming

    5 publications · 422 citations

    5

    h-index

  4. 5

    h-index

  5. Nuclear Physics B

    4 publications · 472 citations

    4

    h-index

1–5