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
Parents
15
1–5 of 15
38
4
h-index
3
h-index
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2
h-index
1–5 of 38
16
Argonne National Laboratory
Lemont, United States
5 h-index
9 publications
199 citations
RWTH Aachen University
Aachen, Germany
2 h-index
6 publications
127 citations

University of Ioannina
Ioannina, Greece
2 h-index
7 publications
100 citations
University of Illinois Chicago
Chicago, United States
2 h-index
3 publications
68 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
1 publications
32 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
3 publications
96 citations
University of Arizona
Tucson, United States
1 h-index
1 publications
14 citations
University of Potsdam
Potsdam, Germany
1 h-index
2 publications
290 citations
1–8 of 16
3 publications · 173 citations
3
h-index
1 publications · 39 citations
1
h-index
1 publications · 10 citations
1
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Repository · 1 publications · 12 citations
1
h-index
1 publications · 32 citations
1
h-index
1–5