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

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dc.contributor.advisor Griva, Igor
dc.contributor.author Mejeur, Joel M.
dc.creator Mejeur, Joel M.
dc.date.accessioned 2018-10-22T01:19:54Z
dc.date.available 2018-10-22T01:19:54Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/1920/11279
dc.description.abstract State 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.extent 130 pages
dc.language.iso en
dc.rights Copyright 2017 Joel M. Mejeur
dc.subject Applied mathematics en_US
dc.subject Augmented Lagrangian en_US
dc.subject Control Constraints en_US
dc.subject Elliptic Control en_US
dc.subject Nonlinear Rescaling en_US
dc.subject PDE Constrained Optimization en_US
dc.subject State Constraints en_US
dc.title Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computational Sciences and Informatics
thesis.degree.grantor George Mason University


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