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Published in: Soft Computing 22/2019

18-01-2019 | Methodologies and Application

A new version of KSOR method with lower number of iterations and lower spectral radius

Authors: R. Constantinescu, R. C. Poenaru, F. Pop, P. G. Popescu

Published in: Soft Computing | Issue 22/2019

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Abstract

In this paper, we propose a new method for solving linear algebraic systems based on the KSOR method. The new approach introduces a new coefficient in the assumed updated section from the KSOR method. It obtains the same solution as KSOR for a given linear algebraic system, but in order to get this, we have to modify the diagonal of the coefficient matrix of the initial system. The new method reaches the solution in fewer steps than KSOR on certain examples, but we have an additional step for the modification mentioned above with O(m) complexity, while a normal step of iteration has \(O(m^2)\) complexity, so overall our method has better performances than KSOR method. Furthermore, on certain examples, the spectral radius of the iteration matrix of the new method is strictly less than the one of KSOR and MKSOR methods.

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Literature
go back to reference Young DM (1971) Iterative solution for large linear systems, 1st edn. Academic Press, New York Young DM (1971) Iterative solution for large linear systems, 1st edn. Academic Press, New York
Metadata
Title
A new version of KSOR method with lower number of iterations and lower spectral radius
Authors
R. Constantinescu
R. C. Poenaru
F. Pop
P. G. Popescu
Publication date
18-01-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 22/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-03725-2

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