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

Simple item page
dc.contributor.advisorGriva, Igor
dc.contributor.authorBloom, Veronica
dc.creatorBloom, Veronica
dc.date.accessioned2014-09-18T01:56:11Z
dc.date.available2014-09-18T01:56:11Z
dc.date.issued2014-05
dc.description.abstractAlthough 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.extent211 pages
dc.identifier.urihttps://hdl.handle.net/1920/8891
dc.language.isoen
dc.rightsCopyright 2014 Veronica Bloom
dc.subjectApplied mathematics
dc.subjectMathematics
dc.subjectComputer science
dc.subjectExterior-point method
dc.subjectNonlinear optimization
dc.subjectNonlinear rescaled augmented Lagrangian
dc.subjectPrimal-dual methods
dc.subjectSupport vector machine
dc.titleExterior-Point Algorithms for Solving Large-Scale Nonlinear Optimization Problems
dc.typeDissertation
thesis.degree.disciplineComputational Sciences and Informatics
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bloom_gmu_0883E_10595.pdf
Size:
790.29 KB
Format:
Adobe Portable Document Format
Download

Collections

College of Science