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Auteurs principaux: Khrapov, Pavel, Volkov, Nikita
Format: Preprint
Publié: 2023
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Accès en ligne:https://arxiv.org/abs/2307.09809
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author Khrapov, Pavel
Volkov, Nikita
author_facet Khrapov, Pavel
Volkov, Nikita
contents The paper presents a comparative analysis of iterative numerical methods of Jacobi and Gauss-Seidel for solving systems of linear algebraic equations (SLAEs) with complex and real matrices. The ranges of convergence for both methods for SLAEs in two and three unknowns, as well as the interrelationships of these ranges are obtained. An algorithm for determining the convergence of methods for SLAEs using the complex analog of the Hurwitz criterion is constructed, the realization of this algorithm in Python in the case of SLAEs in three unknowns is given. A statistical comparison of the convergence of both methods for SLAEs with a real matrices and the number of unknowns from two to five is carried out.
format Preprint
id arxiv_https___arxiv_org_abs_2307_09809
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Comparative analysis of Jacobi and Gauss-Seidel iterative methods
Khrapov, Pavel
Volkov, Nikita
Numerical Analysis
65F10
G.1.3
The paper presents a comparative analysis of iterative numerical methods of Jacobi and Gauss-Seidel for solving systems of linear algebraic equations (SLAEs) with complex and real matrices. The ranges of convergence for both methods for SLAEs in two and three unknowns, as well as the interrelationships of these ranges are obtained. An algorithm for determining the convergence of methods for SLAEs using the complex analog of the Hurwitz criterion is constructed, the realization of this algorithm in Python in the case of SLAEs in three unknowns is given. A statistical comparison of the convergence of both methods for SLAEs with a real matrices and the number of unknowns from two to five is carried out.
title Comparative analysis of Jacobi and Gauss-Seidel iterative methods
topic Numerical Analysis
65F10
G.1.3
url https://arxiv.org/abs/2307.09809