Higher order multi-step Jarratt-like method for solving systems of nonlinear equations: application to PDEs and ODEs

This paper proposes a multi-step iterative method for solving systems of nonlinear equations with a local convergence order of 3m - 4, where in (>= 2) is the number of steps. The multi-step iterative method includes two parts: the base method and the multi-step part. The base method involves two...

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Detalles Bibliográficos
Autores: Ahmad, Fayyaz, Tohidi, Emran, Ullah, Malik Zaka, Carrasco, Juan A.|||0000-0001-7757-1651
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/83353
Acceso en línea:https://hdl.handle.net/2117/83353
https://dx.doi.org/10.1016/j.camwa.2015.05.012
Access Level:acceso abierto
Palabra clave:Iterative methods
Differential equations, Nonlinear
Newton-Raphson method
Multi-step iterative methods
Systems of nonlinear equations
Newton's method
Computational efficiency
Nonlinear ordinary differential equations
Nonlinear partial differential equations
iterative methods
numerical-solution
newtons method
general-class
convergence
Mètodes iteratius (Matemàtica)
Equacions diferencials no lineals
Newton-Raphson, Mètode de
Àrees temàtiques de la UPC::Matemàtiques i estadística
Descripción
Sumario:This paper proposes a multi-step iterative method for solving systems of nonlinear equations with a local convergence order of 3m - 4, where in (>= 2) is the number of steps. The multi-step iterative method includes two parts: the base method and the multi-step part. The base method involves two function evaluations, two Jacobian evaluations, one LU decomposition of a Jacobian, and two matrix-vector multiplications. Every stage of the multi-step part involves the solution of two triangular linear systems and one matrix-vector multiplication. The computational efficiency of the new method is better than those of previously proposed methods. The method is applied to several nonlinear problems resulting from discretizing nonlinear ordinary differential equations and nonlinear partial differential equations. (C) 2015 Elsevier Ltd. All rights reserved.