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Inexact hierarchical scale separation: A two-scale approach for linear systems from discontinuous Galerkin discretizations

机译:不精确的等级尺度分离:不连续的Galerkin离散化的线性系统的两尺度方法

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摘要

Hierarchical scale separation (HSS) is an iterative two-scale approximation method for large sparse systems of linear equations arising from discontinuous Galerkin (DG) discretizations. HSS splits the linear system into a coarse-scale system of reduced size corresponding to the local mean values of the solution, and a set of decoupled local fine-scale systems corresponding to the higher-order solution components. This scheme then alternates between coarse-scale and fine-scale system solves until both components converge. The motivation of HSS is to promote parallelism by decoupling the fine-scale systems, and to reduce the communication overhead from classical linear solvers by only applying them to the coarse-scale system.
机译:分层标度分离(HSS)是一种不连续的Galerkin(DG)离散化导致的大型线性方程组稀疏系统的迭代两尺度逼近方法。 HSS将线性系统分为与解决方案的局部平均值相对应的,尺寸减小的粗尺度系统,以及与高阶解决方案分量相对应的一组解耦的局部精细尺度系统。然后,该方案在粗规模和细规模系统求解之间交替,直到两个组件都收敛。 HSS的动机是通过将精细系统解耦来促进并行性,并通过仅将经典线性求解器应用于粗糙系统来减少传统线性求解器的通信开销。

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