Goal-oriented error control of the iterative solution of finite element equations

Dominik Meidner, R. Rannacher, Jevgeni Vihharev
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引用次数: 57

Abstract

Abstract This paper develops a combined a posteriori analysis for the discretization and iteration errors in the computation of finite element approximations to elliptic boundary value problems. The emphasis is on the multigrid method, but for comparison also simple iterative schemes such as the Gauß–Seidel and the conjugate gradient method are considered. The underlying theoretical framework is that of the Dual Weighted Residual (DWR) method for goal-oriented error estimation. On the basis of these a posteriori error estimates the algebraic iteration can be adjusted to the discretization within a successive mesh adaptation process. The efficiency of the proposed method is demonstrated for several model situations including the simple Poisson equation, the Stokes equations in fluid mechanics and the KKT system of linear-quadratic elliptic optimal control problems.
有限元方程迭代解的目标导向误差控制
摘要针对椭圆型边值问题有限元近似计算中的离散化和迭代误差,提出了一种联合后验分析方法。重点是多网格法,但为了比较,也考虑了简单的迭代方案,如Gauß-Seidel和共轭梯度法。其基本理论框架是用于目标误差估计的双加权残差(DWR)方法。在这些后验误差估计的基础上,代数迭代可以调整为连续网格自适应过程中的离散化。对于简单泊松方程、流体力学中的Stokes方程和线性二次椭圆型最优控制问题的KKT系统等几种模型情况,证明了该方法的有效性。
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