• DocumentCode
    3254205
  • Title

    Distributed augmented Lagrangian algorithms: Convergence rate

  • Author

    Jakovetic, Dusan ; Moura, Jose M. F. ; Xavier, Joao

  • Author_Institution
    Inst. Super. Tecnico (IST), Tech. Univ. of Lisbon, Lisbon, Portugal
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    This paper presents explicit convergence rates for a class of deterministic distributed augmented Lagrangian methods. The expressions for the convergence rates show the dependence on the underlying network parameters. Simulations illustrate the analytical results.
  • Keywords
    convergence; deterministic algorithms; distributed algorithms; convergence rate; deterministic distributed augmented Lagrangian method; distributed augmented Lagrangian algorithms; network parameters; Computational efficiency; Computational modeling; Convergence; Laplace equations; Optimization; Signal processing algorithms; Vectors; augmented Lagrangian; consensus; distributed optimization; linear convergence rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736940
  • Filename
    6736940
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3254205