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Extended Traub-Wolniakowski convergence and complexity of Newton iteration in Banach space

机译:Banach空间中扩展的Traub-Wolniakowski收敛性和牛顿迭代的复杂性

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摘要

An optimal convergence condition for Newton iteration is presented which is at least as weak as the one obtained by Traub and Woiniakowski leading also to an at least as precise complexity. The novelty of the paper is the introduction of a restricted convergence domain. That is we find a more precise location where the Newton iterates lie than in earlier studies. Consequently the Lipschitz constants are at least as small as the ohes used before. This way and under the same computational cost, we extend the local convergence as well as the complexity of Newton iteration. Numerical examples further justify the theoretical results. (C) 2017 Elsevier Inc. All rights reserved.
机译:提出了牛顿迭代的最优收敛条件,该最优收敛条件至少与Traub和Woiniakowski获得的收敛条件一样弱,从而也导致了至少同样精确的复杂性。本文的新颖之处在于引入了受限的收敛域。那就是说,我们找到了比以前的研究更精确的牛顿迭代所在的位置。因此,Lipschitz常数至少与以前使用的整数一样小。这样,在相同的计算成本下,我们扩展了局部收敛性以及牛顿迭代的复杂性。数值例子进一步证明了理论结果。 (C)2017 Elsevier Inc.保留所有权利。

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