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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Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2020 |
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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