Parallel Dynamic Geometric Algorithms

Parallel Dynamic Geometric Algorithms is a class of computational methods in parallel algorithm design that enables efficient, concurrent updates and queries on dynamically changing geometric data structures through synchronized multi-processor operations.

4

Publications

134

Citations

6

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

6

  1. YC
    Yi‐Jen Chiang

    New York University, United States

    1 publications · 18 citations

    1

    h-index

  2. CH
    Chazelle

    Carnegie Mellon University, United States

    1 publications · 60 citations

    1

    h-index

  3. RM
    Russ Miller

    University at Buffalo, State University of New York, United States

    1 publications · 14 citations

    1

    h-index

  4. ER
    Eugenio Roanes–Lozano

    Universidad Complutense de Madrid, Spain

    1 publications · 42 citations

    1

    h-index

  5. LB
    Laurence Boxer

    Niagara University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 6

Venues

  1. The Journal of Supercomputing

    1 publications · 14 citations

    1

    h-index

  2. IEEE Transactions on Computers

    1 publications · 60 citations

    1

    h-index

  3. Mathematical and Computer Modelling

    1 publications · 42 citations

    1

    h-index

1–3