2009
DOI: 10.1088/0266-5611/25/5/055003
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Fixed domain approaches in shape optimization problems with Dirichlet boundary conditions

Abstract: Fixed domain methods have well-known advantages in the solution of variable domain problems including inverse interface problems. This paper examines two new control approaches to optimal design problems governed by general elliptic boundary value problems with Dirichlet boundary conditions. Numerical experiments are also included.

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Cited by 23 publications
(34 citation statements)
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“…Our approach is inspired from shape optimization techniques, but no shape optimization problem is used here although this is a known method in free boundary problems, [2]. One may compare the present approach to the recent works [8,19,22]. An efficient Lagrangian method together with a primal-dual active set strategy with regularization is studied in [13].…”
Section: Introductionmentioning
confidence: 99%
“…Our approach is inspired from shape optimization techniques, but no shape optimization problem is used here although this is a known method in free boundary problems, [2]. One may compare the present approach to the recent works [8,19,22]. An efficient Lagrangian method together with a primal-dual active set strategy with regularization is studied in [13].…”
Section: Introductionmentioning
confidence: 99%
“…Example 1. This is inspired by the example 2 from [13], but the second order elliptic equation is replaced by (2.1)-(2.2). We have D =] − 1, 1[×] − 1, 1[, the load f = 3, the cost function j(g) = 1 2 16 .…”
Section: Numerical Examplesmentioning
confidence: 99%
“…One may compare the present approach to the recent works [14,24,28]. An efficient Lagrangian method together with a primal-dual active set strategy with regularization is studied in [17] by using two perturbation parameters (except in the infeasible case) and nonlinear equations.…”
Section: Brought To You By | Réseau National Des Bibliothèques De Matmentioning
confidence: 99%
“…The algorithm uses just linear elliptic equations in the whole domain D. The type of penalization term from Step 2 may be compared with the approach developed in shape optimization problems in [24]. A classical nonlinear penalization term for solving the obstacle problem is [12].…”
Section: Brought To You By | Réseau National Des Bibliothèques De Matmentioning
confidence: 99%