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Optimal Sixteenth Order Convergent Method Based on Quasi-Hermite Interpolation for Computing Roots

机译:基于准密封插值的最佳十六级汇总方法计算根部

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We have given a four-step, multipoint iterative method without memory for solving nonlinear equations. The method is constructed by using quasi-Hermite interpolation and has order of convergence sixteen. As this method requires four function evaluations and one derivative evaluation at each step, it is optimal in the sense of the Kung and Traub conjecture. The comparisons are given with some other newly developed sixteenth-order methods. Interval Newton’s method is also used for finding the enough accurate initial approximations. Some figures show the enclosure of finitely many zeroes of nonlinear equations in an interval. Basins of attractions show the effectiveness of the method.
机译:我们已经给出了四步的多点迭代方法,没有用于求解非线性方程的存储器。该方法是通过使用准密封插值构建的,并且具有1016个趋同的顺序。由于这种方法需要四个功能评估和每个步骤的一个衍生评估,因此在Kung和Traub猜想的意义上是最佳的。与其他一些新开发的十六级订单方法给出了比较。间隔牛顿的方法还用于查找足够的准确初始近似值。一些图以间隔显示了非线性方程的主要许多零的外壳。景点盆地显示了该方法的有效性。

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