Deterministic Parallel Search

Deterministic Parallel Search is a parallel search method that systematically explores the solution space using a fixed, predictable sequence of operations across multiple processors without reliance on randomness or probabilistic decisions.

9

Publications

426

Citations

15

Authors

14

Institutions

Publications per year

2017–2026

1

Authors

15

  1. NA
    Noga Alon

    Tel Aviv University, Israel

    2 publications · 212 citations

    2

    h-index

  2. AP
    Andrea Pietracaprina

    University of Padua, Italy

    1 publications · 13 citations

    1

    h-index

  3. RA
    Richard Anderson

    University of Washington, United States

    1 publications · 74 citations

    1

    h-index

  4. GL
    Gary L. Miller

    Carnegie Mellon University, United States

    1 publications · 74 citations

    1

    h-index

  5. RR
    Raj Reddy

    Carnegie Mellon University, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 15

Venues

  1. Random Structures and Algorithms

    1 publications · 193 citations

    1

    h-index

  2. Algorithmica

    1 publications · 74 citations

    1

    h-index

  3. Trends in Ecology & Evolution

    TREE · 1 publications · 60 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  5. Theoretical Computer Science

    1 publications · 13 citations

    1

    h-index

1–5