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Exterior-Point Algorithms for Solving Large-Scale Nonlinear Optimization Problems

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dc.contributor.advisor Griva, Igor Bloom, Veronica
dc.creator Bloom, Veronica en_US 2014-09-18T01:56:11Z 2014-09-18T01:56:11Z 2014-05 en_US
dc.description.abstract Although many efficient solvers exist for solving nonlinear optimization problems, there is none that performs well on all problems or outperforms all methods. Therefore, developing new methods for solving optimization problems continues to be important. Exterior-point methods (EPMs) for solving nonlinear optimization problems have promising convergence properties established by theoretical analysis, but no numerically efficient implementation of exterior-point methods exists.
dc.format.extent 211 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Veronica Bloom en_US
dc.subject Applied mathematics en_US
dc.subject Mathematics en_US
dc.subject Computer science en_US
dc.subject exterior-point method en_US
dc.subject nonlinear optimization en_US
dc.subject nonlinear rescaled augmented Lagrangian en_US
dc.subject primal-dual methods en_US
dc.subject support vector machine en_US
dc.title Exterior-Point Algorithms for Solving Large-Scale Nonlinear Optimization Problems en_US
dc.type Dissertation en Doctoral en Computational Sciences and Informatics en George Mason University en

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