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Symbiosis between Linear Algebra and Optimization

dc.contributor.authorO'Leary, Dianne P.en_US
dc.date.accessioned2004-05-31T22:57:42Z
dc.date.available2004-05-31T22:57:42Z
dc.date.created1999-05en_US
dc.date.issued1999-05-28en_US
dc.identifier.urihttp://hdl.handle.net/1903/1012
dc.description.abstractThe efficiency and effectiveness of most optimization algorithms hinges on the numerical linear algebra algorithms that they utilize. Effective linear algebra is crucial to their success, and because of this, optimization applications have motivated fundamental advances in numerical linear algebra. This essay will highlight contributions of numerical linear algebra to optimization, as well as some optimization problems encountered within linear algebra that contribute to a symbiotic relationship. Also cross-referenced as UMIACS-TR-99-30en_US
dc.format.extent203726 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4023en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-99-30en_US
dc.titleSymbiosis between Linear Algebra and Optimizationen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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