Deterministic Time Complexity

Deterministic Time Complexity is a computational complexity measure that belongs to the class of time complexity analyses, specifically characterizing the maximum amount of time required by a deterministic Turing machine to solve a decision problem on any input of a given size.

54

Publications

2.7K

Citations

107

Authors

57

Institutions

Publications per year

2017–2026

10

Authors

107

  1. BC
    Bernard Chazelle

    Princeton University, United States

    3 publications · 878 citations

    3

    h-index

  2. TM
    Timothy M. Chan

    University of Waterloo, Canada

    2 publications · 89 citations

    2

    h-index

  3. GL
    Gary L. Miller

    Carnegie Mellon University, United States

    2 publications · 52 citations

    2

    h-index

  4. SP
    Seth Pettie

    University of Michigan, United States

    2 publications · 52 citations

    2

    h-index

  5. JS
    Joel Seiferas

    University of Rochester, United States

    2 publications · 46 citations

    2

    h-index

1–5 of 107

Venues

  1. SIAM Journal on Computing

    6 publications · 252 citations

    6

    h-index

  2. Discrete & Computational Geometry

    2 publications · 648 citations

    2

    h-index

  3. Journal of Symbolic Logic

    2 publications · 57 citations

    2

    h-index

  4. International Journal of Algebra and Computation

    IJAC · 1 publications · 32 citations

    1

    h-index

  5. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 53 citations

    1

    h-index

1–5