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Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation

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dc.contributor Tseng, Paul.
dc.contributor Massachusetts Institute of Technology. Laboratory for Information and Decision Systems.
dc.date 2003-04-29T15:33:25Z
dc.date 2003-04-29T15:33:25Z
dc.date 1989
dc.date.accessioned 2013-06-04T16:16:12Z
dc.date.available 2013-06-04T16:16:12Z
dc.date.issued 2013-06-05
dc.identifier http://hdl.handle.net/1721.1/3148
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description by Paul Tseng.
dc.description Cover title.
dc.description Includes bibliographical references (p. 33-38).
dc.description Partially 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-8519058
dc.format 42 p.
dc.format 3117444 bytes
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology, Laboratory for Information and Decision Systems]
dc.relation LIDS-P ; 1896
dc.subject TK7855.M41 E3845 no.1896
dc.title Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation


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