Union-find Analysis

Union-Find Analysis is a theoretical framework in amortized analysis that characterizes the efficiency of dynamic connectivity algorithms by analyzing the aggregate or worst-case cost of a sequence of union and find operations on disjoint sets.

44

Publications

2.3K

Citations

86

Authors

58

Institutions

Publications per year

2017–2026

2

Authors

86

  1. PK
    Pankaj K. Agarwal

    Duke University, United States

    2 publications · 55 citations

    2

    h-index

  2. ZG
    Zvi Galil

    Tel Aviv University, Israel

    2 publications · 39 citations

    2

    h-index

  3. JG
    Jens Gustedt

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

    2 publications · 247 citations

    2

    h-index

  4. AM
    Arnold Meijster

    University of Groningen, Netherlands

    2 publications · 46 citations

    2

    h-index

  5. KY
    Ke Yi

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 55 citations

    2

    h-index

1–5 of 86

Venues

  1. Theoretical Computer Science

    2 publications · 247 citations

    2

    h-index

  2. International Journal of Parallel Programming

    1 publications · 25 citations

    1

    h-index

  3. ACM Transactions on Algorithms

    TALG · 1 publications · 18 citations

    1

    h-index

  4. Electronic Notes in Theoretical Computer Science

    ENTCS · 1 publications · 10 citations

    1

    h-index

  5. Journal of Computer and System Sciences

    1 publications · 34 citations

    1

    h-index

1–5