Newton’s forward interpolation method for solving nonlinear algebraic equation

Nasr Al Din Ide
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Abstract

As we know, the interpolation is one of the most basic and most useful numerical techniques in Mathematics. Newton’s forward interpolation method is one of most important of these methods. Its most important task in numerical analysis to find roots of nonlinear equations, several methods already exist to find roots. But in this paper, we introduce the interpolation technique for this purpose. The proposed method derived from the newton forward interpolation method and we compared the results with another existing method (Bisection Method (BM), Regula-Falsi Method (RFM), Secant Method (SM), Newton Raphson Method (NRM)) and the method proposed by J. Sanaullah (SJM). It’s observed that the proposed method has fast convergence but it has same order of convergence of the method (SJM). Maple software is used to solve problems by different methods.
求解非线性代数方程的牛顿正演插值法
众所周知,插值是数学中最基本、最有用的数值技术之一。牛顿正演插值法是其中最重要的方法之一。在数值分析中最重要的任务是求非线性方程的根,目前已有几种求根的方法。但在本文中,我们介绍了为此目的的插值技术。该方法来源于牛顿正插值方法,并与现有的二分法(Bisection method, BM)、正则法(regular - falsi method, RFM)、割线法(Secant method, SM)、牛顿拉夫森法(newton Raphson method, NRM)和J. Sanaullah (SJM)提出的方法进行了比较。结果表明,该方法收敛速度快,但收敛阶数与原方法(SJM)相同。使用Maple软件通过不同的方法解决问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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