求解非线性方程的有效无导数与King's族的记忆变体

M. Kansal, V. Kanwar, S. Bhatia
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引用次数: 0

摘要

本文提出了几种新的两步无导数迭代法,用于求解非线性方程。所提出的无内存类的收敛顺序为4,每一步只需要3次函数计算。我们通过在每个迭代步骤中适当地改变一个自由参数,进一步将收敛阶从4阶增加到6阶,而无需进行任何额外的泛函计算。该自加速参数采用牛顿三次插值多项式计算。通过数值实验和与现有鲁棒方法的比较,验证了理论结果和较高的计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient derivative-free with memory variants of King's family for solving nonlinear equations
In this paper, we present several new two-step derivative-free iterative methods with and without memory for solving nonlinear equations. The convergence order of the proposed class without memory is four requiring only three functional evaluations per step. We further increase the convergence order from four to six by suitable variation of a free parameter in each iterative step without any additional functional evaluation. This self-accelerating parameter is calculated using Newton's interpolation polynomial of third degree. Numerical experiments and the comparison with the existing robust methods are included to confirm the theoretical results and high computational efficiency.
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