求标量非线性方程单根的最优八阶多点数值迭代法

M. Z. Ullah
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引用次数: 0

摘要

构造了求标量非线性方程单根的最优八阶多点数值迭代方法。它是一种三点数值迭代法,使用与标量非线性方程及其导数之一f0(ⅱ)相关的函数f(ⅱ)的三次求值。这四个功能评价是实现八阶收敛所必需的。根据Kung-Traub猜想(KTC),无内存迭代数值多点方法的最大收敛阶数为2n±1,其中n为该方法在单个实例中函数求值的总次数。因此,遵循KTC,本文提出的方法是不优的。
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An optimal eighth-order multipoint numerical iterative method to find simple root of scalar nonlinear equations
An optimal eighth-order multipoint numerical iterative method is constructed to find the simple root of scalar nonlinear equations. It is a three-point numerical iterative method that uses three evaluations of func-tion f(¢) associated with a scalar nonlinear equation and one of its deriv-atives f0 (¢). The four functional evaluations are required to achieve the eighth-order convergence. According to Kung-Traub conjecture (KTC), an iterative numerical multipoint method without memory can achieve maximum order of convergence 2n¡1 where n is the total number of func-tion evaluations in a single instance of the method. Therefore, following the KTC, the proposed method in this article is optimal.
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