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dc.contributorTseng, Paul.en_US
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.en_US
dc.date.accessioned2003-04-29T15:33:25Z
dc.date.available2003-04-29T15:33:25Z
dc.date.issued1989en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3148
dc.descriptionCover title.en_US
dc.descriptionIncludes bibliographical references (p. 33-38).en_US
dc.description.sponsorshipPartially supported by the U.S. Army Research Office (Center for Intelligent Control Systems) DAAL03-86-K-0171 Partially supported by the National Science Foundation. NSF-ECS-8519058en_US
dc.description.statementofresponsibilityby Paul Tseng.en_US
dc.format.extent42 p.en_US
dc.format.extent3117444 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]en_US
dc.relation.ispartofseriesLIDS-P ; 1896en_US
dc.subject.lccTK7855.M41 E3845 no.1896en_US
dc.titleBasis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocationen_US


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