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
Link To Document :
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