• 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