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A new approach based on the Newton's method to solve systems of nonlinear equations

机译:一种基于牛顿求解非线性方程系统的新方法

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An alternative strategy for solving systems of nonlinear equations when the classical Newton's method fails is presented. The proposed strategy is an extension for systems based on the idea presented in the article (Ramos and Vigo-Aguiar, 2015). It relies in obtaining the approximate solutions of a given system of equations through solving an associated system obtained through the theory underlying the Newton's method. In this way, the solutions of the associated system that are not 2-cycles of the Newton iteration function provide solutions of the original system. As it is usual, in most cases, the associated system cannot be solved exactly, and some iterative procedure must be Used. For particular starting values, solving the associated system with the Newton's method results to be more efficient than the application of the Newton's method to the original system. Some examples are given to illustrate the performance of the proposed strategy. Performance profiles are evaluated in terms of number of iterations, error and CPU time. (C) 2016 Elsevier B.V. All rights reserved.
机译:呈现了古典牛顿的方法失败时求解非线性方程系统的替代策略。拟议的策略是基于文章中提出的想法的系统的扩展(RAMOS和Vigo-Aguiar,2015)。通过求解通过牛顿方法基础的理论获得的相关系统获得给定的方程系统的近似解。以这种方式,关联系统的解决方案不是牛顿迭代功能的2周期提供原始系统的解决方案。通常,在大多数情况下,在大多数情况下,不能完全解决相关系统,并且必须使用一些迭代程序。对于特定的起始值,用牛顿的方法解决相关系统,结果比将牛顿的方法应用于原始系统的方法。给出了一些例子来说明所提出的策略的性能。在迭代次数,错误和CPU时间方面评估性能配置文件。 (c)2016 Elsevier B.v.保留所有权利。

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