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Accelerating the convergence speed of iterative methods for solving nonlinear systems

机译:加速求解非线性系统迭代方法的收敛速度

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摘要

In this paper, for solving systems of nonlinear equations, we develop a family of two- step third order methods and introduce a technique by which the order of convergence of many iterative methods can be improved. Given an iterative method of order p = 2 which uses the extended Newton iteration as a predictor, a new method of order p + 2 is constructed by introducing only one additional evaluation of the function. In addition, for an iterative method of order p = 3 using the Newton iteration as a predictor, a new method of order p + 3 can be extended. Applying this procedure, we develop some new efficient methods with higher order of convergence. For comparing these new methods with the ones from which they have been derived, we discuss the computational efficiency in detail. Several numerical examples are given to justify the theoretical results by the asymptotic behaviors of the considered methods. (C) 2018 Elsevier Inc. All rights reserved.
机译:在本文中,为了解决非线性方程的系统,我们开发了一系列两步三阶方法,并引入了一种技术,通过该技术可以提高许多迭代方法的收敛顺序。 鉴于迭代的顺序方法P& = 2,它使用扩展牛顿迭代作为预测的识别因子,通过仅引入函数的一个额外评估来构建新的订单P + 2方法。 另外,对于迭代顺序方法P> = 3使用牛顿迭代作为预测器,可以扩展新的订单P + 3方法。 应用此程序,我们开发了一些具有更高级趋同的新高效方法。 为了将这些新方法与他们所获得的那些进行比较,我们详细讨论了计算效率。 给出了几个数值例子,以证明所考虑方法的渐近行为的理论结果。 (c)2018年Elsevier Inc.保留所有权利。

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