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Mixture discrepancy for quasi-random point sets

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成果类型:
期刊论文
作者:
Zhou, Yong-Dao;Fang, Kai-Tai*;Ning, Jian-Hui
通讯作者:
Fang, Kai-Tai
作者机构:
[Zhou, Yong-Dao] Sichuan Univ, Coll Math, Chengdu 610064, Peoples R China.
[Fang, Kai-Tai] Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China.
[Fang, Kai-Tai] BNU HKBU United Int Coll, Div Sci & Technol, Zhuhai 519085, Peoples R China.
[Ning, Jian-Hui] Cent China Normal Univ, Coll Math & Stat, Wuhan 430079, Peoples R China.
通讯机构:
[Fang, Kai-Tai] C
Chinese Acad Sci, Inst Appl Math, Beijing 100190, Peoples R China.
语种:
英文
关键词:
Centered L2-discrepancy;L2;Curse of dimensionality;Generalized wordlength pattern;Mixture discrepancy;Quasi-Monte Carlo methods;Uniform design
期刊:
Journal of Complexity
ISSN:
0885-064X
年:
2013
卷:
29
期:
3-4
页码:
283-301
基金类别:
NSFCNational Natural Science Foundation of China (NSFC) [11001186, 11101173]; Research Foundation from the Academy of Mathematics and System Sciences, Chinese Academy of Sciences
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
摘要:
There are various discrepancies that are measures of uniformity for a set of points on the unit hypercube. The discrepancies have played an important role in quasi-Monte Carlo methods. Each discrepancy has its own characteristic and some weakness. In this paper we point out some unreasonable phenomena associated with the commonly used discrepancies in the literature such as the L p-star discrepancy, the center L2-discrepancy (CD) and the wrap-around L2-discrepancy (WD). Then, a new discrepancy, called the mixture discrepancy (MD), is proposed. As shown in this paper, the mixture discrepancy is...

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