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

dc.contributor.advisor	Griva, Igor
dc.contributor.author	Bloom, Veronica
dc.creator	Bloom, Veronica	en_US
dc.date.accessioned	2014-09-18T01:56:11Z
dc.date.available	2014-09-18T01:56:11Z
dc.date.issued	2014-05	en_US
dc.identifier.uri	https://hdl.handle.net/1920/8891
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
thesis.degree.level	Doctoral	en
thesis.degree.discipline	Computational Sciences and Informatics	en
thesis.degree.grantor	George Mason University	en