Permutation Generation

Permutation Generation is a backtracking algorithmic technique that systematically constructs all possible arrangements of a set of elements by recursively exploring each candidate extension of partial permutations and retracting upon exhaustion or constraint violation.

168

Publications

6.3K

Citations

281

Authors

169

Institutions

Publications per year

2017–2026

20

Authors

281

  1. FR
    Frank Ruskey

    University of Victoria, Canada

    9 publications · 246 citations

    9

    h-index

  2. AW
    Aaron Williams

    University of Guelph, Canada

    6 publications · 174 citations

    6

    h-index

  3. JB
    Jeffrey B. Remmel

    University of California San Diego, United States

    3 publications · 64 citations

    3

    h-index

  4. LC
    L. Carlitz

    Duke University, United States

    3 publications · 111 citations

    3

    h-index

  5. IS
    Ivan Stojmenović

    University of Ottawa, Canada

    3 publications · 42 citations

    3

    h-index

1–5 of 281

Venues

  1. The Computer Journal

    14 publications · 368 citations

    12

    h-index

  2. The Electronic Journal of Combinatorics

    7 publications · 149 citations

    7

    h-index

  3. BIT Numerical Mathematics

    6 publications · 154 citations

    6

    h-index

  4. Information Processing Letters

    6 publications · 207 citations

    6

    h-index

  5. SIAM Journal on Computing

    4 publications · 108 citations

    4

    h-index

1–5