ADAPTIVE DISCONTINUOUS GALERKIN APPROXIMATION OF OPTIMAL CONTROL PROBLEMS GOVERNED BY TRANSIENT CONVECTION-DIFFUSION EQUATIONS

被引:1
作者
Yucel, Hamdullah [1 ]
Stoll, Martin [2 ]
Benner, Peter [3 ]
机构
[1] Middle East Tech Univ, Inst Appl Math, TR-06800 Ankara, Turkey
[2] Tech Univ Chemnitz, Fac Math, Reichenhainer Str 41, D-09126 Chemnitz, Germany
[3] Max Planck Inst Dynam Complex Tech Syst, Computat Methods Syst & Control Theory, Sandtorstr 1, D-39106 Magdeburg, Germany
来源
ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS | 2018年 / 48卷
关键词
optimal control problem; a posteriori error estimate; discontinuous Galerkin method; convection diffusion equations; FINITE-ELEMENT-METHOD; CONSTRAINED OPTIMIZATION; ERROR ANALYSIS; A-PRIORI; VARIATIONAL DISCRETIZATION; SIPG METHOD; REGULARIZATION;
D O I
10.1553/etna_vol48s407
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we investigate a posteriori error estimates of a control-constrained optimal control problem governed by a time-dependent convection diffusion equation. The control constraints are handled by using the primal-dual active set algorithm as a semi-smooth Newton method and by adding a Moreau-Yosida-type penalty function to the cost functional. Residual-based error estimators are proposed for both approaches. The derived error estimators are used as error indicators to guide the mesh refinements. A symmetric interior penalty Galerkin method in space and a backward Euler method in time are applied in order to discretize the optimization problem. Numerical results are presented, which illustrate the performance of the proposed error estimators.
引用
收藏
页码:407 / 434
页数:28
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