The use of optimization techniques in the solution of partial differential equations from science and engineering

Optimal 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 stat...

Full description

Bibliographic Details
Main Author: Kearsley, Anthony Jose
Other Authors: Glowinski, Roland
Format: Others
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/1911/16938
id ndltd-RICE-oai-scholarship.rice.edu-1911-16938
record_format oai_dc
spelling ndltd-RICE-oai-scholarship.rice.edu-1911-169382013-10-23T04:09:24ZThe use of optimization techniques in the solution of partial differential equations from science and engineeringKearsley, Anthony JoseMathematicsComputer ScienceApplied MechanicsOptimal 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.Glowinski, RolandTapia, Richard A.2009-06-04T00:14:46Z2009-06-04T00:14:46Z1996ThesisText160 p.application/pdfhttp://hdl.handle.net/1911/16938eng
collection NDLTD
language English
format Others
sources NDLTD
topic Mathematics
Computer Science
Applied Mechanics
spellingShingle Mathematics
Computer Science
Applied Mechanics
Kearsley, Anthony Jose
The use of optimization techniques in the solution of partial differential equations from science and engineering
description Optimal 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.
author2 Glowinski, Roland
author_facet Glowinski, Roland
Kearsley, Anthony Jose
author Kearsley, Anthony Jose
author_sort Kearsley, Anthony Jose
title The use of optimization techniques in the solution of partial differential equations from science and engineering
title_short The use of optimization techniques in the solution of partial differential equations from science and engineering
title_full The use of optimization techniques in the solution of partial differential equations from science and engineering
title_fullStr The use of optimization techniques in the solution of partial differential equations from science and engineering
title_full_unstemmed The use of optimization techniques in the solution of partial differential equations from science and engineering
title_sort use of optimization techniques in the solution of partial differential equations from science and engineering
publishDate 2009
url http://hdl.handle.net/1911/16938
work_keys_str_mv AT kearsleyanthonyjose theuseofoptimizationtechniquesinthesolutionofpartialdifferentialequationsfromscienceandengineering
AT kearsleyanthonyjose useofoptimizationtechniquesinthesolutionofpartialdifferentialequationsfromscienceandengineering
_version_ 1716610559673106432