Some Hyperbolic Iterative Methods for Linear Systems

The indefinite inner product defined by J=diagj1,…,jn, jk∈−1,+1, arises frequently in some applications, such as the theory of relativity and the research of the polarized light. This indefinite scalar product is referred to as hyperbolic inner product. In this paper, we introduce three indefinite i...

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Main Authors: K. Niazi Asil, M. Ghasemi Kamalvand
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2020/9874162
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spelling doaj-570bd371d36e407eb4dc206ef3aa182d2020-11-25T01:37:43ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422020-01-01202010.1155/2020/98741629874162Some Hyperbolic Iterative Methods for Linear SystemsK. Niazi Asil0M. Ghasemi Kamalvand1Department of Mathematics, Lorestan University, Khorramabad, IranDepartment of Mathematics, Lorestan University, Khorramabad, IranThe indefinite inner product defined by J=diagj1,…,jn, jk∈−1,+1, arises frequently in some applications, such as the theory of relativity and the research of the polarized light. This indefinite scalar product is referred to as hyperbolic inner product. In this paper, we introduce three indefinite iterative methods: indefinite Arnoldi’s method, indefinite Lanczos method (ILM), and indefinite full orthogonalization method (IFOM). The indefinite Arnoldi’s method is introduced as a process that constructs a J-orthonormal basis for the nondegenerated Krylov subspace. The ILM method is introduced as a special case of the indefinite Arnoldi’s method for J-Hermitian matrices. IFOM is mentioned as a process for solving linear systems of equations with J-Hermitian coefficient matrices. Finally, by providing numerical examples, the FOM, IFOM, and ILM processes have been compared with each other in terms of the required time for solving linear systems and also from the point of the number of iterations.http://dx.doi.org/10.1155/2020/9874162
collection DOAJ
language English
format Article
sources DOAJ
author K. Niazi Asil
M. Ghasemi Kamalvand
spellingShingle K. Niazi Asil
M. Ghasemi Kamalvand
Some Hyperbolic Iterative Methods for Linear Systems
Journal of Applied Mathematics
author_facet K. Niazi Asil
M. Ghasemi Kamalvand
author_sort K. Niazi Asil
title Some Hyperbolic Iterative Methods for Linear Systems
title_short Some Hyperbolic Iterative Methods for Linear Systems
title_full Some Hyperbolic Iterative Methods for Linear Systems
title_fullStr Some Hyperbolic Iterative Methods for Linear Systems
title_full_unstemmed Some Hyperbolic Iterative Methods for Linear Systems
title_sort some hyperbolic iterative methods for linear systems
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2020-01-01
description The indefinite inner product defined by J=diagj1,…,jn, jk∈−1,+1, arises frequently in some applications, such as the theory of relativity and the research of the polarized light. This indefinite scalar product is referred to as hyperbolic inner product. In this paper, we introduce three indefinite iterative methods: indefinite Arnoldi’s method, indefinite Lanczos method (ILM), and indefinite full orthogonalization method (IFOM). The indefinite Arnoldi’s method is introduced as a process that constructs a J-orthonormal basis for the nondegenerated Krylov subspace. The ILM method is introduced as a special case of the indefinite Arnoldi’s method for J-Hermitian matrices. IFOM is mentioned as a process for solving linear systems of equations with J-Hermitian coefficient matrices. Finally, by providing numerical examples, the FOM, IFOM, and ILM processes have been compared with each other in terms of the required time for solving linear systems and also from the point of the number of iterations.
url http://dx.doi.org/10.1155/2020/9874162
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