Best-case Complexity

Best-Case Complexity is the computational complexity measure that characterizes the minimum asymptotic time or space required by an algorithm to solve a problem under the most favorable input conditions of a given size.

42

Publications

2.9K

Citations

91

Authors

64

Institutions

Publications per year

2017–2026

6

Authors

91

  1. RG
    Rachid Guerraoui

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 75 citations

    3

    h-index

  2. YX
    Yu Xu

    Teradata (United States), United States

    3 publications · 147 citations

    3

    h-index

  3. YP
    Yannis Papakonstantinou

    University of California San Diego, United States

    3 publications · 147 citations

    3

    h-index

  4. MV
    Marko Vukolić

    IBM Research - Zurich, Switzerland

    3 publications · 75 citations

    3

    h-index

  5. MN
    Matthias Niewerth

    University of Bayreuth, Germany

    2 publications · 43 citations

    2

    h-index

1–5 of 91

Venues

  1. SIAM Journal on Computing

    3 publications · 97 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  3. Journal of Complexity

    1 publications · 17 citations

    1

    h-index

  4. ACM Transactions on Computational Logic

    TOCL · 1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5