A seventh-order convergent Newton-type method for solving nonlinear equations

Yunhong Hu, Liang Fang
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引用次数: 2

Abstract

In this paper, we present a seventh-order convergent Newton-type method for solving nonlinear equations which is free from second derivative. At each iteration it requires three evaluations of the given function and two evaluation of its first derivative. Therefore its efficiency index is equal to equation which is better than that of Newton's method √2. Several examples demonstrate that the algorithm is more efficient than classical Newton's method and other existing methods.
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求解非线性方程的七阶收敛牛顿型方法
本文给出了求解无二阶导数非线性方程的一种七阶收敛牛顿型方法。在每次迭代中,它需要对给定函数进行三次求值,并对其一阶导数进行两次求值。因此它的效率指数等于方程,它比牛顿法的效率指数好√2。算例表明,该算法比经典牛顿法和其他现有方法更有效。
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