Variational discretization of Lavrentiev-regularized state constrained elliptic optimal control problems

被引:21
作者
Hinze, M. [2 ]
Meyer, C. [1 ]
机构
[1] Weierstrass Inst Appl Anal & Stochast, D-10117 Berlin, Germany
[2] Univ Hamburg, Dept Math, D-20146 Hamburg, Germany
关键词
Optimal control of elliptic equations; Quadratic programming; Pointwise state constraints; Mixed constraints; Lavrentiev regularization; FINITE-ELEMENT APPROXIMATION; PRIMAL-DUAL STRATEGY; POINTWISE STATE; BOUNDARY CONTROL; MINIMIZATION; EQUATIONS;
D O I
10.1007/s10589-008-9198-1
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In the present work, we apply a variational discretization proposed by the first author in (Comput. Optim. Appl. 30:45-61, 2005) to Lavrentiev-regularized state constrained elliptic control problems. We extend the results of (Comput. Optim. Appl. 33:187-208, 2006) and prove weak convergence of the adjoint states and multipliers of the regularized problems to their counterparts of the original problem. Further, we prove error estimates for finite element discretizations of the regularized problem and investigate the overall error imposed by the finite element discretization of the regularized problem compared to the continuous solution of the original problem. Finally we present numerical results which confirm our analytical findings.
引用
收藏
页码:487 / 510
页数:24
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