Two Iterative Methods for Solving Linear Interval Systems

Conjugate gradient is an iterative method that solves a linear system Ax=b, where A is a positive definite matrix. We present this new iterative method for solving linear interval systems Ãx̃=b̃, where à is a diagonally dominant interval matrix, as defined in this paper. Our method is based on con...

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Main Authors: Esmaeil Siahlooei, Seyed Abolfazl Shahzadeh Fazeli
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2018/2797038
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author Esmaeil Siahlooei
Seyed Abolfazl Shahzadeh Fazeli
author_facet Esmaeil Siahlooei
Seyed Abolfazl Shahzadeh Fazeli
author_sort Esmaeil Siahlooei
collection DOAJ
description Conjugate gradient is an iterative method that solves a linear system Ax=b, where A is a positive definite matrix. We present this new iterative method for solving linear interval systems Ãx̃=b̃, where à is a diagonally dominant interval matrix, as defined in this paper. Our method is based on conjugate gradient algorithm in the context view of interval numbers. Numerical experiments show that the new interval modified conjugate gradient method minimizes the norm of the difference of Ãx̃ and b̃ at every step while the norm is sufficiently small. In addition, we present another iterative method that solves Ãx̃=b̃, where à is a diagonally dominant interval matrix. This method, using the idea of steepest descent, finds exact solution x̃ for linear interval systems, where Ãx̃=b̃; we present a proof that indicates that this iterative method is convergent. Also, our numerical experiments illustrate the efficiency of the proposed methods.
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institution Kabale University
issn 1687-9724
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language English
publishDate 2018-01-01
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series Applied Computational Intelligence and Soft Computing
spelling doaj-art-6555a0417a374f5b8a8541ebae10d0fb2025-02-03T05:51:50ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322018-01-01201810.1155/2018/27970382797038Two Iterative Methods for Solving Linear Interval SystemsEsmaeil Siahlooei0Seyed Abolfazl Shahzadeh Fazeli1Department of Computer Science, Yazd University, Yazd, IranDepartment of Computer Science, Yazd University, Yazd, IranConjugate gradient is an iterative method that solves a linear system Ax=b, where A is a positive definite matrix. We present this new iterative method for solving linear interval systems Ãx̃=b̃, where à is a diagonally dominant interval matrix, as defined in this paper. Our method is based on conjugate gradient algorithm in the context view of interval numbers. Numerical experiments show that the new interval modified conjugate gradient method minimizes the norm of the difference of Ãx̃ and b̃ at every step while the norm is sufficiently small. In addition, we present another iterative method that solves Ãx̃=b̃, where à is a diagonally dominant interval matrix. This method, using the idea of steepest descent, finds exact solution x̃ for linear interval systems, where Ãx̃=b̃; we present a proof that indicates that this iterative method is convergent. Also, our numerical experiments illustrate the efficiency of the proposed methods.http://dx.doi.org/10.1155/2018/2797038
spellingShingle Esmaeil Siahlooei
Seyed Abolfazl Shahzadeh Fazeli
Two Iterative Methods for Solving Linear Interval Systems
Applied Computational Intelligence and Soft Computing
title Two Iterative Methods for Solving Linear Interval Systems
title_full Two Iterative Methods for Solving Linear Interval Systems
title_fullStr Two Iterative Methods for Solving Linear Interval Systems
title_full_unstemmed Two Iterative Methods for Solving Linear Interval Systems
title_short Two Iterative Methods for Solving Linear Interval Systems
title_sort two iterative methods for solving linear interval systems
url http://dx.doi.org/10.1155/2018/2797038
work_keys_str_mv AT esmaeilsiahlooei twoiterativemethodsforsolvinglinearintervalsystems
AT seyedabolfazlshahzadehfazeli twoiterativemethodsforsolvinglinearintervalsystems