DocumentCode :
2261444
Title :
A tutorial on convex optimization II: duality and interior point methods
Author :
Hindi, Haitham
Author_Institution :
Palo Alto Res. Center, CA
fYear :
2006
fDate :
14-16 June 2006
Abstract :
In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to its ability to solve very large, practical engineering problems reliably and efficiently. The goal of this tutorial is to continue the overview of modern convex optimization from where our ACC2004 Tutorial on Convex Optimization left off, to cover important topics that were omitted there due to lack of space and time, and highlight the intimate connections between them. The topics of duality and interior point algorithms will be our focus, along with simple examples. The material in this tutorial is excerpted from the recent book on convex optimization, by Boyd and Vandenberghe, who have made available a large amount of free course material and freely available software. These can be downloaded and used immediately by the reader both for self-study and to solve real problems
Keywords :
convex programming; duality (mathematics); computational tool; convex optimization; duality point methods; free course material; interior point methods; Books; Internet; Lagrangian functions; Linear algebra; Linear matrix inequalities; Matrix decomposition; Optimization methods; Reliability engineering; Symmetric matrices; Tutorial;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
Type :
conf
DOI :
10.1109/ACC.2006.1655436
Filename :
1655436
Link To Document :
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