Stability Analysis of Jacobian-Free Newton’s Iterative Method

It is well known that scalar iterative methods with derivatives are highly more stable than their derivative-free partners, understanding the term stability as a measure of the wideness of the set of converging initial estimations. In multivariate case, multidimensional dynamical analysis allows us...

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Main Authors: Abdolreza Amiri, Alicia Cordero, Mohammad Taghi Darvishi, Juan R. Torregrosa
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/12/11/236
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author Abdolreza Amiri
Alicia Cordero
Mohammad Taghi Darvishi
Juan R. Torregrosa
author_facet Abdolreza Amiri
Alicia Cordero
Mohammad Taghi Darvishi
Juan R. Torregrosa
author_sort Abdolreza Amiri
collection DOAJ
description It is well known that scalar iterative methods with derivatives are highly more stable than their derivative-free partners, understanding the term stability as a measure of the wideness of the set of converging initial estimations. In multivariate case, multidimensional dynamical analysis allows us to afford this task and it is made on different Jacobian-free variants of Newton’s method, whose estimations of the Jacobian matrix have increasing order. The respective basins of attraction and the number of fixed and critical points give us valuable information in this sense.
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spelling doaj.art-2e9d22b9e95d4e308c53e4d659976bb22022-12-22T03:55:05ZengMDPI AGAlgorithms1999-48932019-11-01121123610.3390/a12110236a12110236Stability Analysis of Jacobian-Free Newton’s Iterative MethodAbdolreza Amiri0Alicia Cordero1Mohammad Taghi Darvishi2Juan R. Torregrosa3Department of Mathematics, Faculty of Science, Razi University, 67149 Kermanshah, IranInstitute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, SpainDepartment of Mathematics, Faculty of Science, Razi University, 67149 Kermanshah, IranInstitute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, SpainIt is well known that scalar iterative methods with derivatives are highly more stable than their derivative-free partners, understanding the term stability as a measure of the wideness of the set of converging initial estimations. In multivariate case, multidimensional dynamical analysis allows us to afford this task and it is made on different Jacobian-free variants of Newton’s method, whose estimations of the Jacobian matrix have increasing order. The respective basins of attraction and the number of fixed and critical points give us valuable information in this sense.https://www.mdpi.com/1999-4893/12/11/236nonlinear system of equationsiterative methodjacobian-free schemebasin of attraction
spellingShingle Abdolreza Amiri
Alicia Cordero
Mohammad Taghi Darvishi
Juan R. Torregrosa
Stability Analysis of Jacobian-Free Newton’s Iterative Method
Algorithms
nonlinear system of equations
iterative method
jacobian-free scheme
basin of attraction
title Stability Analysis of Jacobian-Free Newton’s Iterative Method
title_full Stability Analysis of Jacobian-Free Newton’s Iterative Method
title_fullStr Stability Analysis of Jacobian-Free Newton’s Iterative Method
title_full_unstemmed Stability Analysis of Jacobian-Free Newton’s Iterative Method
title_short Stability Analysis of Jacobian-Free Newton’s Iterative Method
title_sort stability analysis of jacobian free newton s iterative method
topic nonlinear system of equations
iterative method
jacobian-free scheme
basin of attraction
url https://www.mdpi.com/1999-4893/12/11/236
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