Composite Refinement Techniques for Solving Linear Systems
Journal of Mathematical and Computational Science • 2022
Publication Information
Authors
Sh. A. Meligy; I. K. Youssef
Keywords
Not Available
Journal
Journal of Mathematical and Computational Science
Publisher
SCIK Publishing Corporation
Volume
12
Issue
Not Available
Pages
Article ID 145
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
A composite refinement approach for stationary iterative methods is introduced. Two new formulas (RJGS and RGSJ) are compared with the classical forms. Rates of convergence of the introduced composite formulas (RJGS and RGSJ) are well established. The efficient performance of the new forms is established theoretically and confirmed through numerical examples. The decrease in the required number of iterations for convergence is established through the calculation of the spectral radius of the iteration matrices. The algorithmic structure of the new formulas is announced. Three numerical examples with different convergent properties are considered. The calculations are performed with the help of computer algebra software Mathematica.
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