回溯新 Q 牛顿法、牛顿流、沃罗诺图和随机寻根

Pub Date : 2024-06-08 DOI:10.1007/s11785-024-01558-6
John Erik Fornæss, Mi Hu, Tuyen Trung Truong, Takayuki Watanabe
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引用次数: 0

摘要

最近,第三位作者提出了牛顿法的一种新变体--名为 "回溯新Q-牛顿法"(BNQN)--它具有很强的理论保证,易于实现,并且具有良好的实验性能。之前进行的实验表明,用 BNQN 寻找多项式根和分形函数的吸引力盆地具有一些显著的特性。一般来说,它们看起来比牛顿方法更平滑。在本文中,我们将继续通过实验深入探讨这一显著现象,并将 BNQN 与牛顿流和沃罗诺伊图联系起来。这一联系提出了几个有待解释的难题。实验还表明,与牛顿法和随机松弛牛顿法相比,BNQN 对随机扰动具有更强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Backtracking New Q-Newton’s Method, Newton’s Flow, Voronoi’s Diagram and Stochastic Root Finding

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Backtracking New Q-Newton’s Method, Newton’s Flow, Voronoi’s Diagram and Stochastic Root Finding

A new variant of Newton’s method - named Backtracking New Q-Newton’s method (BNQN) - which has strong theoretical guarantee, is easy to implement, and has good experimental performance, was recently introduced by the third author. Experiments performed previously showed some remarkable properties of the basins of attractions for finding roots of polynomials and meromorphic functions, with BNQN. In general, they look more smooth than that of Newton’s method. In this paper, we continue to experimentally explore in depth this remarkable phenomenon, and connect BNQN to Newton’s flow and Voronoi’s diagram. This link poses a couple of challenging puzzles to be explained. Experiments also indicate that BNQN is more robust against random perturbations than Newton’s method and Random Relaxed Newton’s method.

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