Transactions of the Japan Society for Industrial and Applied Mathematics
Online ISSN : 2424-0982
ISSN-L : 0917-2246
An AOR-base Variable Preconditioned GCR Method(Algorithms for Matrix/Eigenvalue Problems and their Applications,<Special Issue>Joint Symposium of JSIAM Activity Groups 2007)
Shouhei MaedaKuniyoshi AbeTomohiro SogabeShao-Liang Zhang
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2008 Volume 18 Issue 1 Pages 155-170

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Abstract
It is commonly known that Generalized Conjugate Residual(GCR) method with the variable preconditioning using Successive Over-Relaxation(SOR) method is an efficient iterative method for solving large and sparse linear systems. In the present paper, we consider using of Accelerated Over-Relaxation (AOR) method instead of SOR method as a variable preconditioning. Since AOR method is a natural extension of SOR method, our approach includes the previous one. It is experimentally shown by reducing the computational cost of AOR method that the present method can be very promising.
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© 2008 The Japan Society for Industrial and Applied Mathematics
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