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A new family of multi-point iterative methods for finding multiple roots of nonlinear equations

机译:寻找非线性方程多重根的新的多点迭代方法族

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In this paper, new three-point eighth-order iterative methods for solving nonlinear equations are constructed. It is proved that these methods have the convergence order of eight requiring only four function evaluations per iteration. In fact, we have obtained the optimal order of convergence which supports the Kung and Traub conjecture. Kung and Traub conjectured that the multipoint iteration methods, without memory based on (n) evaluations, could achieve optimal convergence order (2^{n-1} .) Thus, we present new iterative methods which agree with the Kung and Traub conjecture for (n=4). Numerical comparisons are included to demonstrate exceptional convergence speed of the proposed methods using only a few function evaluations.
机译:本文构造了求解非线性方程的新的三点八阶迭代方法。事实证明,这些方法的收敛阶数为8,每次迭代仅需要进行四个函数评估。实际上,我们已经获得了支持Kung和Traub猜想的最优收敛阶。 Kung和Traub猜想,基于(n)个评估而无需记忆的多点迭代方法可以达到最佳收敛阶(2 ^ {n-1}。)因此,我们提出了与Kung和Traub猜想一致的新迭代方法。 (n = 4)。包括数值比较,以仅使用一些函数评估就可以证明所提出方法的非凡收敛速度。

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