Parallel Numerical Differentiation

Parallel Numerical Differentiation is a parallel numerical method that approximates the derivative of a mathematical function by distributing the computation of finite difference operations across multiple processing units to achieve efficient and scalable evaluation.

15

Publications

453

Citations

38

Authors

16

Institutions

Publications per year

2017–2026

1

Authors

38

  1. CB
    Christian Bischof

    Argonne National Laboratory, United States

    4 publications · 90 citations

    4

    h-index

  2. PH
    Paul Hovland

    Argonne National Laboratory, United States

    3 publications · 67 citations

    3

    h-index

  3. PH
    Panagiotis Hadjidoukas

    ETH Zurich, Switzerland

    2 publications · 28 citations

    2

    h-index

  4. DG
    Dimitrios G. Papageorgiou

    University of Manchester, United Kingdom

    2 publications · 28 citations

    2

    h-index

  5. CV
    C. Voglis

    University of Ioannina, Greece

    2 publications · 28 citations

    2

    h-index

1–5 of 38

Venues

  1. Computer Physics Communications

    3 publications · 173 citations

    3

    h-index

  2. 1

    h-index

  3. SIAM Journal on Optimization

    1 publications · 10 citations

    1

    h-index

  4. NASA Technical Reports Server (NASA)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Fractional Calculus and Applied Analysis

    1 publications · 32 citations

    1

    h-index

1–5