Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations
Solving equations in abstract spaces is important since many problems from diverse disciplines require it. The solutions of these equations cannot be obtained in a form closed. That difficulty forces us to develop ever improving iterative methods. In this paper we improve the applicability of such m...
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doaj-1e081c30fcc34cc4903051af4c3d10752020-11-25T03:43:38ZengMDPI AGSymmetry2073-89942020-07-01121093109310.3390/sym12071093Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear EquationsIoannis K. Argyros0Stepan Shakhno1Halyna Yarmola2Department of Mathematics, Cameron University, Lawton, OK 73505, USADepartment of Theory of Optimal Processes, Ivan Franko National University of Lviv, Universitetska Str. 1, 79000 Lviv, UkraineDepartment of Computational Mathematics, Ivan Franko National University of Lviv, Universitetska Str. 1, 79000 Lviv, UkraineSolving equations in abstract spaces is important since many problems from diverse disciplines require it. The solutions of these equations cannot be obtained in a form closed. That difficulty forces us to develop ever improving iterative methods. In this paper we improve the applicability of such methods. Our technique is very general and can be used to expand the applicability of other methods. We use two methods of linear interpolation namely the Secant as well as the Kurchatov method. The investigation of Kurchatov’s method is done under rather strict conditions. In this work, using the majorant principle of Kantorovich and our new idea of the restricted convergence domain, we present an improved semilocal convergence of these methods. We determine the quadratical order of convergence of the Kurchatov method and order <inline-formula> <math display="inline"> <semantics> <mfrac> <mrow> <mn>1</mn> <mo>+</mo> <msqrt> <mn>5</mn> </msqrt> </mrow> <mn>2</mn> </mfrac> </semantics> </math> </inline-formula> for the Secant method. We find improved a priori and a posteriori estimations of the method’s error.https://www.mdpi.com/2073-8994/12/7/1093nonlinear equationiterative processconvergence ordersecant methodKurchatov methodBanach space |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ioannis K. Argyros Stepan Shakhno Halyna Yarmola |
spellingShingle |
Ioannis K. Argyros Stepan Shakhno Halyna Yarmola Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations Symmetry nonlinear equation iterative process convergence order secant method Kurchatov method Banach space |
author_facet |
Ioannis K. Argyros Stepan Shakhno Halyna Yarmola |
author_sort |
Ioannis K. Argyros |
title |
Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations |
title_short |
Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations |
title_full |
Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations |
title_fullStr |
Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations |
title_full_unstemmed |
Extending the Convergence Domain of Methods of Linear Interpolation for the Solution of Nonlinear Equations |
title_sort |
extending the convergence domain of methods of linear interpolation for the solution of nonlinear equations |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2020-07-01 |
description |
Solving equations in abstract spaces is important since many problems from diverse disciplines require it. The solutions of these equations cannot be obtained in a form closed. That difficulty forces us to develop ever improving iterative methods. In this paper we improve the applicability of such methods. Our technique is very general and can be used to expand the applicability of other methods. We use two methods of linear interpolation namely the Secant as well as the Kurchatov method. The investigation of Kurchatov’s method is done under rather strict conditions. In this work, using the majorant principle of Kantorovich and our new idea of the restricted convergence domain, we present an improved semilocal convergence of these methods. We determine the quadratical order of convergence of the Kurchatov method and order <inline-formula> <math display="inline"> <semantics> <mfrac> <mrow> <mn>1</mn> <mo>+</mo> <msqrt> <mn>5</mn> </msqrt> </mrow> <mn>2</mn> </mfrac> </semantics> </math> </inline-formula> for the Secant method. We find improved a priori and a posteriori estimations of the method’s error. |
topic |
nonlinear equation iterative process convergence order secant method Kurchatov method Banach space |
url |
https://www.mdpi.com/2073-8994/12/7/1093 |
work_keys_str_mv |
AT ioanniskargyros extendingtheconvergencedomainofmethodsoflinearinterpolationforthesolutionofnonlinearequations AT stepanshakhno extendingtheconvergencedomainofmethodsoflinearinterpolationforthesolutionofnonlinearequations AT halynayarmola extendingtheconvergencedomainofmethodsoflinearinterpolationforthesolutionofnonlinearequations |
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1724518610911625216 |