Decoupled Mixed Element Methods for Fourth Order Elliptic Optimal Control Problems with Control Constraints

被引:2
作者
Shen, Yue [1 ,2 ,3 ]
Jin, Chang [2 ,3 ]
机构
[1] Xian Univ Architecture & Technol, Xian 710055, Shaanxi, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
来源
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS | 2020年 / 13卷 / 02期
关键词
Fourth order elliptic equation; optimal control problem; decoupled mixed element method; Lagrange element; nonconforming Crouzeix-Raviart element; a priori error estimates; FINITE-ELEMENT; NUMERICAL APPROXIMATION; STOKES EQUATIONS; CONVERGENCE; SUPERCONVERGENCE; DISCRETIZATION; DECOMPOSITION; ORDER;
D O I
10.4208/nmtma.OA-2019-0016
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we study the finite element methods for distributed optimal control problems governed by the biharmonic operator. Motivated from reducing the regularity of solution space, we use the decoupled mixed element method which was used to approximate the solution of biharmonic equation to solve the fourth order optimal control problems. Two finite element schemes, i.e., Lagrange conforming element combined with full control discretization and the nonconforming Crouzeix-Raviart element combined with variational control discretization, are used to discretize the decoupled optimal control system. The corresponding a priori error estimates are derived under appropriate norms which are then verified by extensive numerical experiments.
引用
收藏
页码:400 / 432
页数:33
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