The Use of Optimization Techniques in the Solution of Partial Differential Equations

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dc.contributor.authorKearsley, Anthony Joseen_US
dc.date.accessioned2018-06-18T17:42:59Zen_US
dc.date.available2018-06-18T17:42:59Zen_US
dc.date.issued1996-04en_US
dc.date.noteApril 1996en_US
dc.descriptionThis work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16938en_US
dc.description.abstractOptimal Control of systems governed by Partial Differential Equations is an applications-driven area of mathematics involving the formulation and solution of minimization problems. Given a physical phenomenon described by a differential equation, the Optimal Control Problem (OCP) seeks to force state variables to behave in a particular, desired way. This manipulation of state variables is achieved through the control variables. Many problems arising in applications of science and engineering can fruitfully be viewed and formulated as OCP problems. From the OCP point of view, one sees the structure underlying the optimization problem. In this thesis we will propose and analyze algorithms for the solution of Nonlinear Programming Problems (NLP) designed to exploit the OCP structure.en_US
dc.format.extent156 ppen_US
dc.identifier.citationKearsley, Anthony Jose. "The Use of Optimization Techniques in the Solution of Partial Differential Equations." (1996) <a href="https://hdl.handle.net/1911/101877">https://hdl.handle.net/1911/101877</a>.en_US
dc.identifier.digitalTR96-11en_US
dc.identifier.urihttps://hdl.handle.net/1911/101877en_US
dc.language.isoengen_US
dc.titleThe Use of Optimization Techniques in the Solution of Partial Differential Equationsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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