Amortized Running Time

Amortized Running Time is an analytical measure of algorithmic efficiency that belongs to the class of time complexity metrics and is distinguished by its characterization of the average cost per operation over a sequence of operations, rather than the worst-case cost of any single operation.

123

Publications

8.1K

Citations

208

Authors

110

Institutions

Publications per year

2017–2026

18

Authors

208

  1. TM
    Timothy M. Chan

    University of Waterloo, Canada

    9 publications · 262 citations

    9

    h-index

  2. RE
    Robert E. Tarjan

    Princeton University, United States

    8 publications · 2.2K citations

    8

    h-index

  3. VK
    Valerie King

    University of Victoria, Canada

    5 publications · 657 citations

    5

    h-index

  4. ML
    Michael L. Fredman

    University of California San Diego, United States

    4 publications · 584 citations

    4

    h-index

  5. SB
    Surender Baswana

    Indian Institute of Technology Kanpur, India

    3 publications · 155 citations

    3

    h-index

1–5 of 208

Venues

  1. SIAM Journal on Computing

    15 publications · 815 citations

    13

    h-index

  2. ACM Transactions on Algorithms

    TALG · 7 publications · 446 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 276 citations

    6

    h-index

  4. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 4 publications · 76 citations

    4

    h-index

  5. Journal of the ACM

    JACM · 4 publications · 1.4K citations

    4

    h-index

1–5