Title : Improvement of the rate of convergence estimates for multigri algorithm ( Improvement of the rate of convergence estimates for multigri algorithm )
Authors: Ali Tavakoli , Asghar Kerayechian ,
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Abstract
In this paper, we present a new convergence rate for both symmetric and nonsymmetric positive definite problems. In our theory, “regularity and approximation” assumption is used. A new rate of convergence estimate with View the MathML source is used where α is a “regularity and approximation” parameter. Also, a new convergence rate is given by two-grid schemes.
Keywords
Finite elements; Multigrid algorithms
@article{paperid:203828,
author = {Tavakoli, Ali and Kerayechian, Asghar},
title = {Improvement of the rate of convergence estimates for multigri algorithm},
journal = {Applied Mathematics and Computation},
year = {2007},
volume = {187},
number = {2},
month = {April},
issn = {0096-3003},
pages = {922--928},
numpages = {6},
keywords = {Finite elements; Multigrid algorithms},
}
%0 Journal Article
%T Improvement of the rate of convergence estimates for multigri algorithm
%A Tavakoli, Ali
%A Kerayechian, Asghar
%J Applied Mathematics and Computation
%@ 0096-3003
%D 2007
