Jacobi-perron Algorithm

The Jacobi-Perron Algorithm is a multidimensional continued fraction algorithm that generalizes the Euclidean algorithm to simultaneously approximate a tuple of real numbers by recursively applying integer translations and inversions to generate a sequence of convergents.

32

Publications

5.9K

Citations

51

Authors

39

Institutions

Publications per year

2017–2026

2

Variants

Jpa

Authors

51

  1. SI
    Shunji Ito

    Tohoku University, Japan

    5 publications · 201 citations

    5

    h-index

  2. VB
    Valérie Berthé

    Centre National de la Recherche Scientifique, France

    3 publications · 83 citations

    3

    h-index

  3. MK
    Michaël Keane

    Delft University of Technology, Netherlands

    2 publications · 46 citations

    2

    h-index

  4. MO
    M. Ohtsuki

    Tsuda University, Japan

    2 publications · 46 citations

    2

    h-index

  5. LB
    Leon Bernstein

    U.S. Salinity Laboratory, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 51

Venues

  1. Pacific Journal of Mathematics

    6 publications · 165 citations

    6

    h-index

  2. Ergodic Theory and Dynamical Systems

    6 publications · 114 citations

    6

    h-index

  3. Tokyo Journal of Mathematics

    2 publications · 100 citations

    2

    h-index

  4. Monatshefte für Mathematik

    2 publications · 77 citations

    2

    h-index

  5. Journal of Mathematics and Physics

    1 publications · 18 citations

    1

    h-index

1–5