Families of Means-Based Modified Newtons Method for Solving Nonlinear Model

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Abstract

In literature, the arithmetic mean of the two functions in the denominator of the second step of order three Weerakoon and Fernando (2000) iterative method have been replaced with other different means. However, these actions have not improve its order of convergence. To improve the order of convergence of these modified methods, a generic family of iterative methods that involve two weight functions and a generic consequential function for replacement of means is proposed. The analysis of convergence carried out on the families of methods, shows that they are of fourth order convergence and requires evaluation of three functions per iteration cycle. Further, the flexibility of the weight functions enables the re-discovery of some existing and construction of new families of iterative methods. Some concrete members of the family of methods are applied to solve some nonlinear equations and real life problems that are modeled into nonlinear equations
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基于均值族的修正牛顿法求解非线性模型
在文献中,Weerakoon and Fernando(2000)迭代法已经用其他不同的方法代替了三阶第二步分母中两个函数的算术平均值。然而,这些行动并没有改善其收敛顺序。为了提高这些改进方法的收敛顺序,提出了一种包含两个权重函数和一个用于均值替换的一般结果函数的一般迭代方法族。对这些方法族的收敛性进行了分析,表明它们是四阶收敛的,并且每个迭代周期需要计算三个函数。此外,权重函数的灵活性使得重新发现一些现有的迭代方法和构建新的迭代方法族成为可能。该方法族的一些具体成员被用于解决一些非线性方程和实际生活中的问题,这些问题被建模为非线性方程
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