Recursive Algorithms Analysis

Recursive Algorithms Analysis is the systematic study of algorithms that solve problems by recursively breaking them down into smaller instances, distinguished by its focus on characterizing time and space complexity through recurrence relations and mathematical induction.

65

Publications

2.4K

Citations

128

Authors

75

Institutions

Publications per year

2017–2026

3

Variants

Analysis Of Recursive Algorithms

Authors

128

  1. PF
    Philippe Flajolet

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 28 citations

    2

    h-index

  2. HK
    Hans Koomen

    SUNY Geneseo, United States

    2 publications · 34 citations

    2

    h-index

  3. DB
    Doug Baldwin

    SUNY Geneseo, United States

    2 publications · 34 citations

    2

    h-index

  4. JE
    John E. Savage

    Brown University, United States

    2 publications · 35 citations

    2

    h-index

  5. GW
    Greg W. Scragg

    SUNY Geneseo, United States

    2 publications · 34 citations

    2

    h-index

1–5 of 128

Venues

  1. IEEE Transactions on Information Theory

    2 publications · 62 citations

    2

    h-index

  2. IEEE Transactions on Communications

    1 publications · 13 citations

    1

    h-index

  3. The Annals of Probability

    1 publications · 20 citations

    1

    h-index

  4. Journal of Mathematical Physics

    1 publications · 49 citations

    1

    h-index

  5. Transportation Science

    1 publications · 35 citations

    1

    h-index

1–5