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Local convergence study for multiple roots. Estimating the multiplicity

机译:多根根的局部收敛研究。估计多重性

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In this paper we deal with iterative methods for approximating multiple roots of nonlinear equations, it is a special case where some particular aspects must be taken into account. We are interested in local convergence studies, that is in obtaining an open ball B(α, r) where the sequence x_n generated by an iterative method, starting from any initial point in it generates a sequence {x_n} that remains in the ball and converges to the solution of the problem, α. Then, it is interesting to obtain the largest possible value of r, but obviously, this depends on the conditions that the nonlinear function verifies. We define a new technique to simplify the process of obtaining the functions that bound the error equation just by using a characterization of the function using Taylor's development around the root under the assumption of a bounding condition for the (m + 1)th derivative of the function f (x). This technique simplifies the usual intricate properties of divided differences that are used in already published papers about local convergence for multiple roots. Moreover, we complete the study in cases where the multiplicity m is unknown, so we estimate this factor by different strategies comparing the behavior of the corresponding estimations and how this fact affect to the original method.
机译:在本文中,我们处理用于近似非线性方程的多根根的迭代方法,这是一个特殊方面必须考虑的特殊情况。我们对本地收敛研究感兴趣,即在获得由迭代方法生成的序列X_N的开放球B(α,R),从其中的任何初始点开始生成残留在球中的序列{x_n}收敛于问题的解决方案α。然后,获得最大可能值的R,但显然,这取决于非线性函数验证的条件。我们定义了一种新的技术,简化了通过使用泰勒的开发的特征在于(M + 1)Th衍生物的界限条件,通过使用泰勒的开发的特征来简化获得误差方程的功能的过程。功能f(x)。该技术简化了已经公布了多个根部局部收敛的划分差异的通常复杂的性质。此外,我们在多个M是未知的情况下完成研究,因此我们通过比较相应估计的行为以及这一事实如何影响原始方法的不同策略来估计这个因素。

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