Using permutations to reduce discrepancy

DOI10.1016/0377-0427(90)90340-6zbMath0709.65005OpenAlexW2043030414WikidataQ127097169 ScholiaQ127097169MaRDI QIDQ921848

Henri Faure

Publication date: 1990

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-0427(90)90340-6

zbMATH Keywords

reductionMonte Carlo methodsasymptotic resultsvan der Corput sequencesrandom number generationirregularities of distributionmeasure of discrepancyrepartition of numbers

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Random number generation in numerical analysis (65C10)

Related Items (1)

Variations on \((0,s)\)-sequences

Cites Work

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• Point sets and sequences with small discrepancy
• On the star-discrepancy of generalized Hammersley sequences in two dimensions
• A comparative study of pseudo and quasi random sequences for the solution of integral equations
• Low-discrepancy and low-dispersion sequences
• Symmetrization of the van der Corput generalized sequences
• On the diaphony of the van der Corput-Halton sequence
• An improved low-discrepancy sequence for multidimensional quasi-Monte Carlo integration
• Discrépance de suites associées à un système de numération (en dimension s)
• Discrépances de suites associées à un système de numération (en dimension un)

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