Duality-Based Error Estimation is a methodological framework in computational mathematics and numerical analysis that uses the duality principle from functional analysis to derive rigorous a posteriori error bounds by relating the original (primal) problem to an associated dual (adjoint) problem.
69
Publications
4.5K
Citations
127
Authors
81
Institutions
Publications per year
2017–2026
10
Parents
Publications
69
1–5 of 69
Authors
127
- SR
6
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- YL
4
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- CL
4
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- RR
4
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- MG
3
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1–5 of 127
Institutions
81
Yunnan University
Kunming, China
5 h-index
11 publications
235 citations
Heidelberg University
Heidelberg, Germany
3 h-index
6 publications
2.7K citations
Universidad de Zaragoza
Zaragoza, Spain
3 h-index
6 publications
260 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
3 publications
142 citations
Peter the Great St. Petersburg Polytechnic University
Saint Petersburg, Russia
3 h-index
3 publications
249 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
7 publications
142 citations
Instituto Nacional de Matemática Pura e Aplicada
Rio de Janeiro, Brazil
2 h-index
4 publications
416 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
50 citations
1–8 of 81
Venues
- Numerical Algorithms
5 publications · 181 citations
5
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- SIAM Journal on Scientific Computing
5 publications · 129 citations
5
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- Mathematical Programming
3 publications · 284 citations
3
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- Computer Methods in Applied Mechanics and Engineering
3 publications · 66 citations
3
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- Mathematics of Computation
MCOM · 3 publications · 217 citations
3
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