Error Estimation For Nonlinear Problems
Error Estimation for Nonlinear Problems is a methodological framework within computational mathematics that quantifies the discrepancy between approximate and exact solutions in nonlinear systems, distinguished by its incorporation of nonlinearity-aware bounds and adaptive sensitivity analysis.
576
Publications
25.6K
Citations
1K
Authors
536
Institutions
Publications per year
2017–2026
101
Parents
576
Collocation at Gaussian Points
Carl de Boor, Blair Swartz · SIAM Journal on Numerical Analysis · 1973 · 618 citations
Christophe Prud'Homme, Dimitrios Rovas, Karen Veroy et al. · Journal of Fluids Engineering · 2001 · 571 citations · Full text
Computing, Computational Engineering, Finite Element Analysis +16
1–5 of 576
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University of Maryland, College Park, United States
5 publications · 202 citations
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536

Centre National de la Recherche Scientifique
Paris, France
15 h-index
29 publications
2.3K citations
The University of Texas at Austin
Austin, United States
7 h-index
14 publications
1.2K citations

Sorbonne Université
Paris, France
7 h-index
10 publications
871 citations
University of Maryland, College Park
College Park, United States
7 h-index
7 publications
361 citations

Universidad de Cantabria
Santander, Spain
6 h-index
6 publications
355 citations

TU Wien
Vienna, Austria
6 h-index
13 publications
747 citations
Laboratoire des signaux et systèmes
Gif-sur-Yvette, France
6 h-index
12 publications
1.2K citations
University of Southern California
Los Angeles, United States
6 h-index
6 publications
194 citations
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31 publications · 1.9K citations
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20 publications · 529 citations
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19 publications · 1.2K citations
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18 publications · 732 citations
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12 publications · 435 citations
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