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

Cover title.

Bibliographic Details
Other Authors: Tseng, Paul.
Language:eng
Published: Massachusetts Institute of Technology, Laboratory for Information and Decision Systems] 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3148
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author2 Tseng, Paul.
author_facet Tseng, Paul.
collection MIT
description Cover title.
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spelling mit-1721.1/31482019-04-10T22:51:14Z Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation Tseng, Paul. Massachusetts Institute of Technology. Laboratory for Information and Decision Systems. TK7855.M41 E3845 no.1896 Cover title. Includes bibliographical references (p. 33-38). 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 by Paul Tseng. 2003-04-29T15:33:25Z 2003-04-29T15:33:25Z 1989 http://hdl.handle.net/1721.1/3148 eng LIDS-P ; 1896 42 p. 3117444 bytes application/pdf application/pdf Massachusetts Institute of Technology, Laboratory for Information and Decision Systems]
spellingShingle TK7855.M41 E3845 no.1896
Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title_full Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title_fullStr Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title_full_unstemmed Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title_short Basis descent methods for convex essentially smooth optimization with applications to quadratic/entropy optimization and resource allocation
title_sort basis descent methods for convex essentially smooth optimization with applications to quadratic entropy optimization and resource allocation
topic TK7855.M41 E3845 no.1896
url http://hdl.handle.net/1721.1/3148