Pde-constrained Shape Optimization
PDE-Constrained Shape Optimization is a mathematical framework within shape optimization that seeks optimal domain configurations by minimizing a given objective functional subject to partial differential equations (PDEs) governing the physical behavior of the system, thereby distinguishing itself through the incorporation of PDEs as implicit constraints on the shape design.
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2.2K
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78
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50
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2017–2026
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Multigrid Methods for PDE Optimization
Volker Schulz · SIAM Review · 2009 · 167 citations
Natural Sciences, Computational Engineering, Computational Mechanics +14
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Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
222 citations

Universität Trier
Trier, Germany
2 h-index
5 publications
432 citations
State University of New York
Albany, United States
2 h-index
4 publications
128 citations
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
131 citations
Stony Brook University
Stony Brook, United States
2 h-index
4 publications
128 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
104 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
1 publications
81 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
50 citations
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4 publications · 335 citations
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2 publications · 345 citations
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2 publications · 428 citations
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2 publications · 107 citations
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2 publications · 98 citations
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