Topological Derivatives is a mathematical tool in shape optimization that characterizes the first-order sensitivity of a shape functional to infinitesimal topological perturbations, such as the introduction of small holes or inclusions in a domain.
107
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5.9K
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160
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106
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2017–2026
32
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107
Level set methods for inverse scattering
Oliver Dorn, Dominique Lesselier · Inverse Problems · 2006 · 393 citations
1–5 of 107
Authors
160
- AAAntônio André Novotny
Laboratório Nacional de Computação Científica, Brazil
23 publications · 1.2K citations
19
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13
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11
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9
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8
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1–5 of 160
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106
Laboratório Nacional de Computação Científica
Petrópolis, Brazil
17 h-index
33 publications
1.6K citations
Institut Élie Cartan de Lorraine
Vandœuvre-lès-Nancy, France
13 h-index
20 publications
1.1K citations
Université de Lorraine
Nancy, France
13 h-index
20 publications
1.1K citations
Centre National de la Recherche Scientifique
Paris, France
11 h-index
16 publications
893 citations
Polish Academy of Sciences
Warsaw, Poland
9 h-index
13 publications
427 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
8 h-index
8 publications
247 citations
Université d'Avignon et des Pays de Vaucluse
Avignon, France
8 h-index
8 publications
342 citations
Systems Research Institute
Warsaw, Poland
8 h-index
12 publications
417 citations
1–8 of 106
Venues
- Inverse Problems
8 publications · 718 citations
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- Structural and Multidisciplinary Optimization
6 publications · 270 citations
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- Journal of Computational Physics
6 publications · 628 citations
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- SIAM Journal on Control and Optimization
6 publications · 1.2K citations
6
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- International Journal for Numerical Methods in Engineering
5 publications · 314 citations
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