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

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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Date: 2013-06-05

Description:

 
by Paul Tseng.
 
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
 

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