Convergence Results on Iteration Algorithms to Linear Systems

In order to solve the large scale linear systems, backward and Jacobi iteration algorithms are employed. The convergence is the most important issue. In this paper, a unified backward iterative matrix is proposed. It shows that some well-known iterative algorithms can be deduced with it. The most im...

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Main Authors: Zhuande Wang, Chuansheng Yang, Yubo Yuan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/273873
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author Zhuande Wang
Chuansheng Yang
Yubo Yuan
author_facet Zhuande Wang
Chuansheng Yang
Yubo Yuan
author_sort Zhuande Wang
collection DOAJ
description In order to solve the large scale linear systems, backward and Jacobi iteration algorithms are employed. The convergence is the most important issue. In this paper, a unified backward iterative matrix is proposed. It shows that some well-known iterative algorithms can be deduced with it. The most important result is that the convergence results have been proved. Firstly, the spectral radius of the Jacobi iterative matrix is positive and the one of backward iterative matrix is strongly positive (lager than a positive constant). Secondly, the mentioned two iterations have the same convergence results (convergence or divergence simultaneously). Finally, some numerical experiments show that the proposed algorithms are correct and have the merit of backward methods.
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institution Kabale University
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publishDate 2014-01-01
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series The Scientific World Journal
spelling doaj-art-aa78595e54694cc3a73a4a7611ead6062025-02-03T01:21:43ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/273873273873Convergence Results on Iteration Algorithms to Linear SystemsZhuande Wang0Chuansheng Yang1Yubo Yuan2School of Mathematical Science, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, ChinaDepartment of Mathematics, Zhejiang Ocean University, Zhoushan, Zhejiang 316000, ChinaSchool of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaIn order to solve the large scale linear systems, backward and Jacobi iteration algorithms are employed. The convergence is the most important issue. In this paper, a unified backward iterative matrix is proposed. It shows that some well-known iterative algorithms can be deduced with it. The most important result is that the convergence results have been proved. Firstly, the spectral radius of the Jacobi iterative matrix is positive and the one of backward iterative matrix is strongly positive (lager than a positive constant). Secondly, the mentioned two iterations have the same convergence results (convergence or divergence simultaneously). Finally, some numerical experiments show that the proposed algorithms are correct and have the merit of backward methods.http://dx.doi.org/10.1155/2014/273873
spellingShingle Zhuande Wang
Chuansheng Yang
Yubo Yuan
Convergence Results on Iteration Algorithms to Linear Systems
The Scientific World Journal
title Convergence Results on Iteration Algorithms to Linear Systems
title_full Convergence Results on Iteration Algorithms to Linear Systems
title_fullStr Convergence Results on Iteration Algorithms to Linear Systems
title_full_unstemmed Convergence Results on Iteration Algorithms to Linear Systems
title_short Convergence Results on Iteration Algorithms to Linear Systems
title_sort convergence results on iteration algorithms to linear systems
url http://dx.doi.org/10.1155/2014/273873
work_keys_str_mv AT zhuandewang convergenceresultsoniterationalgorithmstolinearsystems
AT chuanshengyang convergenceresultsoniterationalgorithmstolinearsystems
AT yuboyuan convergenceresultsoniterationalgorithmstolinearsystems