Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints

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dc.contributor.advisorGriva, Igor
dc.contributor.authorMejeur, Joel M.
dc.creatorMejeur, Joel M.
dc.date.accessioned2018-10-22T01:19:54Z
dc.date.available2018-10-22T01:19:54Z
dc.date.issued2017
dc.description.abstractState inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods.
dc.format.extent130 pages
dc.identifier.urihttps://hdl.handle.net/1920/11279
dc.language.isoen
dc.rightsCopyright 2017 Joel M. Mejeur
dc.subjectApplied mathematics
dc.subjectAugmented Lagrangian
dc.subjectControl Constraints
dc.subjectElliptic Control
dc.subjectNonlinear Rescaling
dc.subjectPDE Constrained Optimization
dc.subjectState Constraints
dc.titleFunction Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints
dc.typeDissertation
thesis.degree.disciplineComputational Sciences and Informatics
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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