• DocumentCode
    115959
  • Title

    A new semi-smooth Newton multigrid method for parabolic PDE optimal control problems

  • Author

    Jun Liu ; Mingqing Xiao

  • Author_Institution
    Dept. of Math., Southern Illinois Univ., Carbondale, IL, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    5568
  • Lastpage
    5573
  • Abstract
    A new semi-smooth Newton (SSN) multigrid algorithm is proposed for solving the discretized first order necessary optimality systems that characterize the optimal solutions of a class of 2D semi-linear parabolic PDE optimal control problems with control constraints. To achieve a second-order accurate finite difference discretization, we use a leapfrog scheme (with the second-order backward differentiation formula (BDF2)) in time and a standard 5-point stencil in space. The derived well-structured discretized Jacobian matrices greatly facilitate the development of effective smoother in our multigrid algorithm. Numerical simulations are provided to illustrate the efficiency of the proposed method, which validates the second-order accuracy in solution approximations and the optimal linear complexity in computational time.
  • Keywords
    Jacobian matrices; Newton method; approximation theory; computational complexity; finite difference methods; optimal control; parabolic equations; partial differential equations; 2D semilinear parabolic PDE optimal control problems; BDF2; SSN multigrid algorithm; computational time; control constraints; discretized Jacobian matrices; discretized first order necessary optimality systems; leapfrog scheme; optimal linear complexity; parabolic PDE optimal control problems; second-order accuracy; second-order accurate finite difference discretization; second-order backward differentiation formula; semismooth Newton multigrid method; solution approximations; Accuracy; Approximation algorithms; Convergence; Equations; Jacobian matrices; Mathematical model; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040260
  • Filename
    7040260