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Some superlinearly convergent inexact generalized Newton method for solving nonsmooth equations

机译:求解非光滑方程组的一些超线性收敛的不精确广义牛顿法

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摘要

This paper presents an inexact generalized Newton method for solving the nonlinear equation F(x)=0, where F is locally Lipschitz continuous. The method with backtracking is globally and superlinearly convergent under some mild assumptions on F. The first proposed algorithm is a substantial extension of the well-known inexact Newton method to nonsmooth case based on Pu and Tian [Globally convergent inexact generalized Newton's methods for nonsmooth equations, J. Comput. Appl. Math. 138 (2002), pp. 37-49] approach. Moreover, a hybrid method with Armijo line search, which is globally and quadratically convergent, is also presented. The presented results of numerical experiments are promising and confirm the theoretical properties of introduced methods.
机译:本文提出了一种求解非线性方程F(x)= 0的不精确广义牛顿法,其中F是局部Lipschitz连续的。在F的一些温和假设下,具有回溯的方法是全局的和超线性的收敛。首先提出的算法是将众所周知的不精确Newton方法实质性扩展到基于Pu和Tian的不光滑情况[关于不光滑方程的全局收敛不精确广义牛顿方法,J。Comput。应用数学。 138(2002),第37-49页]的方法。此外,还提出了一种具有Armijo线搜索的混合方法,该方法全局和二次收敛。数值实验的结果是有希望的,并证实了所引入方法的理论性质。

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