Title of article
Convergence estimates for multigrid algorithms
Author/Authors
K. S. Kang، نويسنده , , D. Y. Kwak، نويسنده ,
Issue Information
هفته نامه با شماره پیاپی سال 1997
Pages
8
From page
15
To page
22
Abstract
To estimate convergence of the multigrid algorithms, we need some assumptions on smoothers. The assumptions for typical smoothers are well analyzed in the multigrid literature [1,2]. However, numerical evidence shows that Kaczmarz smoother does not satisfy above assumptions. Thus, we introduce a weaker condition which is satisfied by Kaczmarz smoother as well as Jacobi and Gauss-Seidel smoother. Under these weaker assumptions, we show that the convergence factor of V-cycle multigrid algorithm is δ = 1 − 1/(C(j − 1)). assumptions for Kaczmarz smoother are verified by numerical experiment.
Keywords
Smoothing assumptions , Kaczmarz smoothing , Multigrid method
Journal title
Computers and Mathematics with Applications
Serial Year
1997
Journal title
Computers and Mathematics with Applications
Record number
918075
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