2020
DOI: 10.1007/978-3-030-42687-3_1
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Finite Element Methods for Elliptic Distributed Optimal Control Problems with Pointwise State Constraints (Survey)

Abstract: Finite element methods for a model elliptic distributed optimal control problem with pointwise state constraints are considered from the perspective of fourth order boundary value problems.

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Cited by 4 publications
(3 citation statements)
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References 63 publications
(85 reference statements)
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“…Note that, in this case, the obtained system of equations involves the bi-Laplacian so that some care has to be taken regarding the choice of the used finite element spaces. Compare, e.g., with [12] in this context where a similar technique is applied to state-constrained problems. We do not discuss this alternative discretization here to avoid overloading this paper.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…Note that, in this case, the obtained system of equations involves the bi-Laplacian so that some care has to be taken regarding the choice of the used finite element spaces. Compare, e.g., with [12] in this context where a similar technique is applied to state-constrained problems. We do not discuss this alternative discretization here to avoid overloading this paper.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…Fast solvers for (1.1)-(1.3) are also studied in [15,10]. We refer to [9] for a more detailed survey about finite element methods for (1.1)- (1.3). Overall, as pointed out in [9], optimal control problems with pointwise state constraints can be analyzed using known finite element methods for fourth order boundary value problems.…”
Section: Introductionmentioning
confidence: 99%
“…We refer to [9] for a more detailed survey about finite element methods for (1.1)- (1.3). Overall, as pointed out in [9], optimal control problems with pointwise state constraints can be analyzed using known finite element methods for fourth order boundary value problems. This crucial observation opens doors to many possible numerical methods for optimal control problems with pointwise state constraints.…”
Section: Introductionmentioning
confidence: 99%