Gaussian Elimination, Perturbation Theory and Markov Chains

dc.contributor.authorStewart, G. W.en_US
dc.date.accessioned2004-05-31T22:22:03Z
dc.date.available2004-05-31T22:22:03Z
dc.date.created1992-01en_US
dc.date.issued1998-10-15en_US
dc.description.abstractThe purpose of this paper is to describe the special problems that emerge when Gaussian elimination is used to determinin the steady-state vector of a Markov chain. (Also cross-referenced as UMIACS-TR-92-23)en_US
dc.format.extent149889 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/564
dc.language.isoen_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
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-2847en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-92-23en_US
dc.titleGaussian Elimination, Perturbation Theory and Markov Chainsen_US
dc.typeTechnical Reporten_US

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