用贪婪算法超越最佳一维低差异构造

François Clément
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引用次数: 0

摘要

自韦尔和范-德-科普特在 20^{text{th}} 世纪初的工作以来,人们对 $[0,1)$ 上均匀分布序列的设计进行了广泛的研究。目前最好的序列是基于具有黄金比率的克罗内克序列和奥斯特罗穆霍夫对范德尔科普特序列的一种置换。尽管我们做了大量的努力,但仍不清楚是否有可能进一步改进这些构造。我们通过数值实验表明,克里琴格引入的一种截然不同的方法似乎比现有方法表现得更好。特别是,这种构造基于一种emph{greedy}方法,但性能却优于非常微妙的数论构造。此外,我们还首次在维度 2 和维度 3 中提供了数值结果,并证明了序列在这种新环境中仍然是高度规则的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outperforming the Best 1D Low-Discrepancy Constructions with a Greedy Algorithm
The design of uniformly spread sequences on $[0,1)$ has been extensively studied since the work of Weyl and van der Corput in the early $20^{\text{th}}$ century. The current best sequences are based on the Kronecker sequence with golden ratio and a permutation of the van der Corput sequence by Ostromoukhov. Despite extensive efforts, it is still unclear if it is possible to improve these constructions further. We show, using numerical experiments, that a radically different approach introduced by Kritzinger in seems to perform better than the existing methods. In particular, this construction is based on a \emph{greedy} approach, and yet outperforms very delicate number-theoretic constructions. Furthermore, we are also able to provide the first numerical results in dimensions 2 and 3, and show that the sequence remains highly regular in this new setting.
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