A CLASS OF OPTIMAL EIGHTH ORDER ITERATIVE METHODS FOR SOLVING NONLINEAR EQUATIONS WITHOUT DERIVATIVES

Laila A. Alnaser
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Abstract

The objective of this paper is to develop new class of optimal iterative methods that do not need any derivative evaluations for solving nonlinear equations. Those new methods consist of an approximation of the eighth order and require four function evaluations per iteration which support the Kung-Traub assumption on optimal order for without memory schemes. Lastly, to show those new methods' performance and effectiveness, they are compared numerically with other similar methods in high-precision computation.
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一类求解无导数非线性方程的最优八阶迭代法
本文的目的是发展一类新的不需要任何导数求值的最优迭代方法来求解非线性方程。这些新方法由近似八阶组成,每次迭代需要四次函数求值,这支持无内存方案的最优顺序的Kung-Traub假设。最后,将这些新方法与其他类似方法进行了高精度计算的数值比较,以证明这些新方法的性能和有效性。
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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