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POD a-posteriori error analysis for optimal control problems with mixed control-state constraints

POD a-posteriori error analysis for optimal control problems with mixed control-state constraints

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GUBISCH, Martin, Stefan VOLKWEIN, 2014. POD a-posteriori error analysis for optimal control problems with mixed control-state constraints. In: Computational Optimization and Applications. 58(3), pp. 619-644. ISSN 0926-6003. eISSN 1573-2894

@article{Gubisch2014a-pos-32316, title={POD a-posteriori error analysis for optimal control problems with mixed control-state constraints}, year={2014}, doi={10.1007/s10589-014-9636-1}, number={3}, volume={58}, issn={0926-6003}, journal={Computational Optimization and Applications}, pages={619--644}, author={Gubisch, Martin and Volkwein, Stefan} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/32316"> <dc:creator>Gubisch, Martin</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/32316"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-12-03T10:03:45Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-12-03T10:03:45Z</dc:date> <dcterms:issued>2014</dcterms:issued> <dc:creator>Volkwein, Stefan</dc:creator> <dc:language>eng</dc:language> <dcterms:title>POD a-posteriori error analysis for optimal control problems with mixed control-state constraints</dcterms:title> <dc:contributor>Volkwein, Stefan</dc:contributor> <dc:contributor>Gubisch, Martin</dc:contributor> <dcterms:abstract xml:lang="eng">In this work linear-quadratic optimal control problems for parabolic equations with mixed control-state constraints are considered. These problems arise when a Lavrentiev regularization is utilized for state constrained linear-quadratic optimal control problems. For the numerical solution a Galerkin discretization is applied utilizing proper orthogonal decomposition (POD). Based on a perturbation method it is determined how far the suboptimal control, computed on the basis of the POD method, is from the (unknown) exact one. Numerical examples illustrate the theoretical results. In particular, the POD Galerkin scheme is applied to a problem with state constraints.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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