A moving mesh fictitious domain approach for shape optimization problems
Raino A. E. Mäkinen, Tuomo Rossi, Jari Toivanen (2000)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Raino A. E. Mäkinen, Tuomo Rossi, Jari Toivanen (2000)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Karsten Eppler (2000)
Discussiones Mathematicae, Differential Inclusions, Control and Optimization
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For a shape optimization problem second derivatives are investigated, obtained by a special approach for the description of the boundary variation and the use of a potential ansatz for the state. The natural embedding of the problem in a Banach space allows the application of a standard differential calculus in order to get second derivatives by a straight forward "repetition of differentiation". Moreover, by using boundary value characerizations for more regular data, a complete boundary...
Timo Tiihonen (1997)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Andrzej Myśliński (2006)
Control and Cybernetics
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Grégoire Allaire, Frédéric de Gournay, François Jouve, Anca-Maria Toader (2005)
Control and Cybernetics
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Antoine Henrot, Grégory Villemin (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
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In this paper, we are interested in finding the optimal shape of a magnet. The criterion to maximize is the jump of the electromagnetic field between two different configurations. We prove existence of an optimal shape into a natural class of domains. We introduce a quasi-Newton type algorithm which moves the boundary. This method is very efficient to improve an initial shape. We give some numerical results.
Bijan Mohammadi (2010)
Control and Cybernetics
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