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New iterative methods for linear inequalities
dc.contributor.authorYang, K.en_US
dc.contributor.authorMurty, Katta G.en_US
dc.date.accessioned2006-09-11T15:50:13Z
dc.date.available2006-09-11T15:50:13Z
dc.date.issued1992-01en_US
dc.identifier.citationYang, K.; Murty, K. G.; (1992). "New iterative methods for linear inequalities." Journal of Optimization Theory and Applications 72(1): 163-185. <http://hdl.handle.net/2027.42/45240>en_US
dc.identifier.issn0022-3239en_US
dc.identifier.issn1573-2878en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45240
dc.description.abstractNew iterative methods for solving systems of linear inequalities are presented. Each step in these methods consists of finding the orthogonal projection of the current point onto a hyperplane corresponding to a surrogate constraint which is constructed through a positive combination of a group of violated constraints. Both sequential and parallel implementations are discussed.en_US
dc.format.extent994581 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherTheory of Computationen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherSurrogate Constraintsen_US
dc.subject.otherSequential Implementationen_US
dc.subject.otherOptimizationen_US
dc.subject.otherOptimizationen_US
dc.subject.otherMathematicsen_US
dc.subject.otherApplications of Mathematicsen_US
dc.subject.otherCalculus of Variations and Optimal Controlen_US
dc.subject.otherEngineering, Generalen_US
dc.subject.otherLinear Inequalitiesen_US
dc.subject.otherIterative Methodsen_US
dc.subject.otherParallel Implementationen_US
dc.titleNew iterative methods for linear inequalitiesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherDepartment of Industrial and Manufacturing Engineering, Wayne State University, Detroit, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45240/1/10957_2004_Article_BF00939954.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00939954en_US
dc.identifier.sourceJournal of Optimization Theory and Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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