Amortized Analysis Of Data Structures

Amortized Analysis of Data Structures is a formal analytical framework within the study of algorithms that characterizes the average time complexity of a sequence of operations on a data structure over time, distributing the cost of expensive operations across a series of cheaper ones to provide a more accurate long-term performance bound than worst-case analysis alone.

26

Publications

1.8K

Citations

41

Authors

24

Institutions

Publications per year

2017–2026

1

Authors

41

  1. RE
    Robert E. Tarjan

    Princeton University, United States

    7 publications · 787 citations

    7

    h-index

  2. DD
    Daniel D. Sleator

    Carnegie Mellon University, United States

    4 publications · 523 citations

    4

    h-index

  3. GF
    Giuseppe F. Italiano

    University of Rome Tor Vergata, Italy

    2 publications · 203 citations

    2

    h-index

  4. LB
    Lam Berry Schoenmakers

    1 publications · 16 citations

    1

    h-index

  5. EP
    Erik Poll

    Radboud University Nijmegen, Netherlands

    1 publications · 16 citations

    1

    h-index

1–5 of 41

Venues

  1. SIAM Journal on Computing

    4 publications · 229 citations

    4

    h-index

  2. Journal of Functional Programming

    2 publications · 30 citations

    2

    h-index

  3. 1

    h-index

  4. Trends in Functional Programming

    Conference · 1 publications · 16 citations

    1

    h-index

  5. Algorithmica

    1 publications · 55 citations

    1

    h-index

1–5