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dc.contributorBertsekas, Dimitri P.en_US
dc.date.accessioned2003-04-29T15:43:17Z
dc.date.available2003-04-29T15:43:17Z
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/3462
dc.descriptionCover title.en_US
dc.descriptionIncludes bibliographical references (p. 21-23).en_US
dc.description.sponsorshipSupported by ARPA. F30602-92-C-0030 Supported by the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology. DAAH04-95-1-0103en_US
dc.description.statementofresponsibilityBertsekas, D.P., Tsitsiklis, J.N.en_US
dc.format.extent23 p.en_US
dc.format.extent1203205 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systemsen_US
dc.relation.ispartofseriesLIDS-P ; 2404en_US
dc.subject.lccTK7855.M41 E3845 no.2404en_US
dc.titleGradient convergence in gradient methodsen_US


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