2017
DOI: 10.1007/s10589-017-9965-y
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An augmented Lagrange method for elliptic state constrained optimal control problems

Abstract: In this paper we apply an augmented Lagrange method to a class of semilinear elliptic optimal control problems with pointwise state constraints. We show strong convergence of subsequences of the primal variables to a local solution of the original problem as well as weak convergence of the adjoint states and weak* convergence of the multipliers associated to the state constraint. Moreover, we show existence of stationary points in arbitrary small neighborhoods of local solutions of the original problem. Additi… Show more

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Cited by 17 publications
(29 citation statements)
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“…With a similar argument we can establish the next lemma. Again the proof can be found in [18,Lemma 3.7]. If we now combine these two results we can show that our algorithm produces infinitely many successful steps.…”
Section: Infinitely Many Successful Stepsmentioning
confidence: 63%
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“…With a similar argument we can establish the next lemma. Again the proof can be found in [18,Lemma 3.7]. If we now combine these two results we can show that our algorithm produces infinitely many successful steps.…”
Section: Infinitely Many Successful Stepsmentioning
confidence: 63%
“…Proof. The proof just differs from the one of [18,Theorem 3.3] concerning the additional subdifferential in (7b). Hence, we give just the most important steps here.…”
Section: The Augmented Lagrange Optimal Control Problemmentioning
confidence: 82%
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“…There is a wide collection of publications dealing with optimal control of PDEs. See, for example, [1,7,11,13,15,17,20,24,28,29] and the references therein. In all previous publications, the control variable enters the state equation either on the right-hand side (distributed controls) or is part of the boundary conditions (boundary controls).…”
Section: Introductionmentioning
confidence: 99%
“…A comparison of the classical ALM and its safeguarded analogue can be found in [35]. Moreover, the safeguarded ALM has been extended to quasi-variational inequalities in finite dimensions [32,36,51] and to constrained optimization problems and variational inequalities in Banach spaces [33,37,38,40].…”
Section: Introductionmentioning
confidence: 99%