特征值问题的自适应有限元解:离散化与迭代误差的平衡

R. Rannacher, A. Westenberger, W. Wollner
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引用次数: 39

摘要

摘要针对椭圆型特征值问题的有限元解的离散化和迭代误差,提出了一种联合后验分析方法。重点讨论了用krylov空间方法迭代求解离散特征值问题。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。在可计算的后验误差估计的基础上,将代数迭代调整为连续网格自适应过程中的离散化。通过数值算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive finite element solution of eigenvalue problems: Balancing of discretization and iteration error
Abstract This paper develops a combined a posteriori analysis for the discretization and iteration errors in the solution of elliptic eigenvalue problems by the finite element method. The emphasis is on the iterative solution of the discretized eigenvalue problem by a Krylov-space method. The underlying theoretical framework is that of the Dual Weighted Residual (DWR) method for goal-oriented error estimation. On the basis of computable a posteriori error estimates the algebraic iteration can be adjusted to the discretization within a successive mesh adaptation process. The functionality of the proposed method is demonstrated by numerical examples.
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