On two numerical methods for state-constrained elliptic control problems

dc.contributor.authorMeyer, Christian
dc.contributor.authorPruefert, Uwe
dc.contributor.authorTröltzsch, Fredi
dc.date.accessioned2021-12-17T10:06:40Z
dc.date.available2021-12-17T10:06:40Z
dc.date.issued2005-02-18
dc.description.abstractA linear-quadratic elliptic control problem with pointwise box constraints on the state is considered. The state-constraints are treated by a Lavrentiev type regularization. It is known that the Lagrange multipliers associated with the regularized state-constraints are functions in L^2. Moreover, the convergence of the optimal control of the regularized problem is proven for regularization parameter tending to zero. To solve the problem numerically, an interior point method and a primal-dual active set strategy are implemented and tested in function space.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15573
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14346
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.otherlinear elliptic equationsen
dc.subject.otherquadratic optimal control problemen
dc.subject.otherpointwise state constraintsen
dc.subject.otherinterior point methoden
dc.subject.otheractive set strategyen
dc.titleOn two numerical methods for state-constrained elliptic control problemsen
dc.typeResearch Paperen
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
tub.series.issuenumber2005, 05en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
tub.subject.msc200049J20 Optimal control problems involving partial differential equationsen
tub.subject.msc200049M20 Methods of relaxation typeen
tub.subject.msc200090C51 Interior-point methodsen
tub.subject.msc200065K10 Optimization and variational techniquesen

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