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A biparametric family of optimally convergent sixteenth-order multipoint methods with their fourth-step weighting function as a sum of a rational and a generic two-variable function

机译:双参数族的最优收敛的十六阶多点方法,其第四步加权函数是有理函数和泛型二变量函数的总和

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摘要

A biparametric family of four-step multipoint iterative methods of order sixteen to numerically solve nonlinear equations are developed and their convergence properties are investigated. The efficiency indices of these methods are all found to be 1615≈1.741101, being optimally consistent with the conjecture of KungTraub. Numerical examples as well as comparison with existing methods developed by KungTraub and Neta are demonstrated to confirm the developed theory in this paper.
机译:提出了一种双参数族四阶多点迭代方法,用于对非线性方程进行数值求解,阶数为十六阶,并研究了它们的收敛性。这些方法的效率指数均发现为1615≈1.741101,与KungTraub的猜想最佳一致。数值例子以及与KungTraub和Neta开发的现有方法的比较证明了本文的理论发展。

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