A refined convergence analysis of multigrid algorithms for elliptic equations

Author:

Chang Qianshun12,Jia Rong-Qing3

Affiliation:

1. School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 221116, P. R. China

2. Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, P. R. China

3. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada T6G 2G1, Canada

Abstract

Multigrid algorithms, in particular, multigrid V-cycles, are investigated in this paper. We establish a general theory for convergence of the multigrid algorithm under certain approximation conditions and smoothing conditions. Our smoothing conditions are satisfied by commonly used smoothing operators including the standard Gauss–Seidel method. Our approximation conditions are verified for finite element approximation to numerical solutions of elliptic partial differential equations without any requirement of additional regularity of the solution. Our convergence analysis of multigrid algorithms can be applied to a wide range of problems. Numerical examples are also provided to illustrate the general theory.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Analysis

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Convergence Analysis of a Multigrid Method for a Nonlocal Model;SIAM Journal on Matrix Analysis and Applications;2017-01

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