Design and multidimensional extension of iterative methods for solving nonlinear problems

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• 作者：S. Artidiello^a ; ^{santiago.artidiello@intec.edu.do" class="auth_mail" title="E-mail the corresponding author} ; Alicia Cordero^b ; ^{acordero@mat.upv.es" class="auth_mail" title="E-mail the corresponding author} ; Juan R. Torregrosa ; ^b ; ^{jrtorre@mat.upv.es" class="auth_mail" title="E-mail the corresponding author} ; M.P. Vassileva^a ; ^{maria.penkova@intec.edu.do" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Nonlinear systems ; Iterative method ; Convergence ; Efficiency index ; Bratu&rsquo ; s problem
• 刊名：Applied Mathematics and Computation
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：293
• 期：Complete
• 页码：194-203
• 全文大小：448 K

文摘

In this paper, a three-step iterative method with sixth-order local convergence for approximating the solution of a nonlinear system is presented. From Ostrowski’s scheme adding one step of Newton with ’frozen’ derivative and by using a divided difference operator we construct an iterative scheme of order six for solving nonlinear systems. The computational efficiency of the new method is compared with some known ones, obtaining good conclusions. Numerical comparisons are made with other existing methods, on standard nonlinear systems and the classical 1D-Bratu problem by transforming it in a nonlinear system by using finite differences. From this numerical examples, we confirm the theoretical results and show the performance of the presented scheme.