Robust PRESB Preconditioning of a 3-Dimensional Space-Time Finite Element Method for Parabolic Problems

IF 1 4区 数学 Q3 MATHEMATICS, APPLIED
Ladislav Foltyn, Dalibor Lukáš, Marco Zank
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引用次数: 0

Abstract

We present a recently developed preconditioning of square block matrices (PRESB) to be used within a parallel method to solve linear systems of equations arising from tensor-product discretizations of initial boundary-value problems for parabolic partial differential equations. We consider weak formulations in Bochner–Sobolev spaces and tensor-product finite element approximations for the heat and eddy current equations. The fast diagonalization method is employed to decouple the arising linear system of equations into auxiliary spatial complex-valued linear systems that can be solved concurrently. We prove that the real part of the system matrix is positive definite, which allows us to accelerate the flexible generalized minimal residual method (FGMRES) by the PRESB preconditioner. The action of PRESB on a vector includes two solutions with positive definite matrices. The spectrum of the preconditioned system lies between 1/2 and 1. Finally, we combine the PRESB-FGMRES method with multigrid-CG iterations and illustrate the numerical efficiency and the robustness for spatial discretizations up to 12 millions degrees of freedom.
抛物线问题三维时空有限元方法的稳健 PRESB 预处理
我们介绍了最近开发的方块矩阵预处理方法(PRESB),该方法可用于并行方法,以解决抛物线偏微分方程初始边界值问题的张量乘积离散化所产生的线性方程组。我们考虑了 Bochner-Sobolev 空间中的弱公式以及热方程和涡流方程的张量积有限元近似。我们采用快速对角化方法,将产生的线性方程组解耦为可同时求解的辅助空间复值线性方程组。我们证明了系统矩阵的实部是正定的,这使我们能够通过 PRESB 预处理加速灵活的广义最小残差法(FGMRES)。PRESB 对矢量的作用包括两个具有正定矩阵的解。最后,我们将 PRESB-FGMRES 方法与多网格-CG 迭代相结合,说明了空间离散高达 1200 万自由度时的数值效率和鲁棒性。
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来源期刊
CiteScore
2.40
自引率
7.70%
发文量
54
期刊介绍: The highly selective international mathematical journal Computational Methods in Applied Mathematics (CMAM) considers original mathematical contributions to computational methods and numerical analysis with applications mainly related to PDEs. CMAM seeks to be interdisciplinary while retaining the common thread of numerical analysis, it is intended to be readily readable and meant for a wide circle of researchers in applied mathematics. The journal is published by De Gruyter on behalf of the Institute of Mathematics of the National Academy of Science of Belarus.
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