A new measure of irregularity of distribution and quasi-Monte Carlo methods for global optimization
type: Item
instance of: scholarly article
title: A new measure of irregularity of distribution and quasi-Monte Carlo methods for global optimization
zbMATH Open document ID: 1017.65060
DOI: 10.1016/S0898-1221(01)00311-X
publication date: 2002-08-15T00:00:00Z
review text: This paper proposes some new measures of irregularity of distribution to be used in quasi-Monte Carlo methods for choosing point sets for given probability distribution on general domains. Methods of generating point sets with one of the measure are described.
reviewed by: Ping-Qi Pan
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 1781527
zbMATH Keywords: global optimization
zbMATH Keywords: dispersion
zbMATH Keywords: discrepancy
zbMATH Keywords: measures of irregularity of distribution
zbMATH Keywords: quasi-Monte Carlo methods
author: Xiaoqun Wang
MaRDI profile type: Publication
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published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 1781527