2012
DOI: 10.1137/110834366
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Optimality Conditions and Error Analysis of Semilinear Elliptic Control Problems with $L^1$ Cost Functional

Abstract: Abstract. Semilinear elliptic optimal control problems involving the L 1 norm of the control in the objective are considered. Necessary and sufficient second-order optimality conditions are derived. A priori finite element error estimates for piecewise constant discretizations for the control and piecewise linear discretizations of the state are shown. Error estimates for the variational discretization of the problem in the sense of [13] are also obtained. Numerical experiments confirm the convergence rates.Ke… Show more

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Cited by 98 publications
(156 citation statements)
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“…We refer to Refs. [36,Corollary 3.2] and [51, Theorem 3.1] in which the case ν = 0 is discussed as well. The relation in Eq.…”
Section: First-order Optimality Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…We refer to Refs. [36,Corollary 3.2] and [51, Theorem 3.1] in which the case ν = 0 is discussed as well. The relation in Eq.…”
Section: First-order Optimality Conditionsmentioning
confidence: 99%
“…Therefore, it is also called sparse control or sparse optimal control in the literature, see Refs. [34][35][36][37]. In some sense, we can interpret the areas with non-vanishing sparse optimal control signals as the most sensitive areas of the RD patterns with respect to the desired control goal.…”
Section: Introductionmentioning
confidence: 99%
“…A continuation technique is then necessary to obtain the solution of the nonregularized dual problem. Alternatively, the problem can be regularized by adding the L 2 -norm of the control to the functional to be minimized, without loosing the sparse properties of the L 1 -norm; see [9,25,29] for details.…”
Section: Introductionmentioning
confidence: 99%
“…Problems with the functional j 1 and linear elliptic equations were first analyzed in [15]. Later on, a secondorder analysis in the presence of semilinear elliptic state equations was provided in [5] and adapted to measurevalued controls in [4]. Note that the functional j 1 does not provide control over the structure of the spatiotemporal sparsity pattern of the optimal control.…”
Section: Introductionmentioning
confidence: 99%