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Several two-point with memory iterative methods for solving nonlinear equations

机译:具有内存迭代方法的几个两点,用于求解非线性方程

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In this article, our main motivation is to present two-step with memory iterative methods for solving nonlinear equations. We attempted to convert the existing fourth-order without memory method into a with memory method. Further acceleration of convergence order is attained by means of different approximations of self-accelerating parameters. The parameters are calculated by Hermite interpolating polynomial and applied to accelerate the order of convergence of the without memory methods. In particular, the R -order of the proposed two-step with memory iterative method is increased without any additional calculations and it possesses high computational efficiency. At the end, the theoretical results are confirmed by considering different numerical examples. Numerical comparisons specify that the new family is efficient and give tough competition to some existing with memory iterative methods.
机译:在本文中,我们的主要动机是利用用于求解非线性方程的内存迭代方法进行两步。 我们试图将现有的第四顺转换为具有内存方法的内存方法。 通过自加速参数的不同近似来实现收敛顺序的进一步加速。 该参数由Hermite内插多项式计算,并应用于加速无记忆方法的收敛顺序。 特别地,提出的两步与内存迭代方法的R型顺序在没有任何额外计算的情况下增加并且它具有高计算效率。 最后,通过考虑不同的数值例子来确认理论结果。 数值比较指定新的家庭是有效的,并为某些内存迭代方法提供艰难的竞争。

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