Stochastic Shape Optimization
Stochastic Shape Optimization is a computational framework within shape optimization that incorporates random variables or probabilistic models to account for uncertainties in design parameters, loading conditions, or material properties, thereby seeking optimal shapes that are robust under stochastic variations.
22
Publications
638
Citations
61
Authors
37
Institutions
Publications per year
2017–2026
6
Parents
22
Emmanuel Iarussi, Wilmot Li, Adrien Bousseau · ACM Transactions on Graphics · 2015 · 42 citations · Full text
Risk Averse Shape Optimization
Sergio Conti, Harald Held, Martin Pach et al. · SIAM Journal on Control and Optimization · 2011 · 36 citations
1–5 of 22
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37
National Research Council
Rome, Italy
2 h-index
4 publications
54 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
90 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
31 citations

University of Bath
Bath, United Kingdom
1 h-index
2 publications
40 citations
École nationale des ponts et chaussées
Champs-sur-Marne, France
1 h-index
3 publications
270 citations
Gujarat Technological University
Ahmedabad, India
1 h-index
1 publications
12 citations

Universität Trier
Trier, Germany
1 h-index
1 publications
31 citations
Italian Resuscitation Council
Bologna, Italy
1 h-index
2 publications
26 citations
1–8 of 37
2 publications · 31 citations
2
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2 publications · 53 citations
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1 publications · 12 citations
1
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1 publications · 90 citations
1
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1 publications · 36 citations
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1–5