Discrepancy bounds for low-dimensional point sets

H. Faure, P. Kritzer
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引用次数: 1

Abstract

The class of $(t,m,s)$-nets and $(t,s)$-sequences, introduced in their most general form by Niederreiter, are important examples of point sets and sequences that are commonly used in quasi-Monte Carlo algorithms for integration and approximation. Low-dimensional versions of $(t,m,s)$-nets and $(t,s)$-sequences, such as Hammersley point sets and van der Corput sequences, form important sub-classes, as they are interesting mathematical objects from a theoretical point of view, and simultaneously serve as examples that make it easier to understand the structural properties of $(t,m,s)$-nets and $(t,s)$-sequences in arbitrary dimension. For these reasons, a considerable number of papers have been written on the properties of low-dimensional nets and sequences.
低维点集的差异界
Niederreiter以最一般的形式引入了$(t,m,s)$-nets和$(t,s)$-序列,它们是点集和序列的重要例子,通常用于拟蒙特卡罗算法的积分和近似。$(t,m,s)$-nets和$(t,s)$-序列的低维版本,如Hammersley点集和van der Corput序列,形成了重要的子类,因为它们从理论角度来看是有趣的数学对象,同时作为示例,使人们更容易理解任意维的$(t,m,s)$-nets和$(t,s)$-序列的结构性质。由于这些原因,有相当多的论文是关于低维网络和序列的性质的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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