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Overlapping Schwarz methods with adaptive coarse spaces for multiscale problems in 3D

机译:重叠施瓦茨方法,具有自适应粗糙空间,用于3D多尺度问题

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摘要

We propose two variants of the overlapping additive Schwarz method for the finite element discretization of scalar elliptic problems in 3D with highly heterogeneous coefficients. The methods are efficient and simple to construct using the abstract framework of the additive Schwarz method, and an idea of adaptive coarse spaces. In one variant, the coarse space consists of finite element functions associated with the wire basket nodes and functions based on solving some generalized eigenvalue problems on the faces. In the other variant, it contains functions associated with the vertex nodes with functions based on solving some generalized eigenvalue problems on subdomain faces and subdomain edges. The functions that constitute the coarse spaces are chosen adaptively, and they correspond to the eigenvalues that are smaller than a given threshold. The convergence rate of the preconditioned conjugate gradients method in both cases is shown to be independent of the variations in the coefficients for the sufficient number of eigenfunctions in the coarse space. Numerical results are given to support the theory.
机译:我们提出了与高度异构系数的3D标量椭圆问题的有限元分离子的有限元分离的两个变体。使用添加剂Schwarz方法的抽象框架和自适应粗糙空间的概念,该方法是高效且简单的构造。在一个变型中,粗糙空间包括与线篮节点相关联的有限元件和基于在面上求解一些广义的特征值问题的功能。在另一个变体中,它包含与顶点节点相关联的功能,基于解决子域面和子域边缘的一些概括的特征值问题。构成粗糙空间的功能被自适应地选择,并且它们对应于小于给定阈值的特征值。两种情况下预先处理的共轭梯度方法的收敛速率被示出与粗糙空间中足够数量的特征函数的系数变化无关。给出了数值结果支持该理论。

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