Discrepancy Theory / / ed. by Dmitriy Bilyk, Josef Dick, Friedrich Pillichshammer.

The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy point sets for quasi-Monte Carlo integration, probabilistic discrepancy bounds, dispersion of point sets, pair correlation of sequences, in...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2020
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2020]
©2020
Year of Publication:2020
Language:English
Series:Radon Series on Computational and Applied Mathematics , 26
Online Access:
Physical Description:1 online resource (IX, 216 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • 1. On some recent developments in uniform distribution and discrepancy theory
  • 2. Results and problems old and new in discrepancy theory
  • 3. On negatively dependent sampling schemes, variance reduction, and probabilistic upper discrepancy bounds
  • 4. Recent advances in higher order quasi-Monte Carlo methods
  • 5. On the asymptotic behavior of the sine productΠnr =1 /2 sin πrα/
  • 6. Fibonacci lattices have minimal dispersion on the two-dimensional torus
  • 7. On pair correlation of sequences
  • 8. Some of Jiří Matoušek’s contributions to combinatorial discrepancy theory
  • 9. Fourier analytic techniques for lattice point discrepancy