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

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• MitwirkendeR: Bilyk, Dmitriy,; Brandolini, Luca,; Breneis, Simon,; Chen, W. W. L.,; Gnewuch, Michael,; Goda, Takashi,; Grepstad, Sigrid,; Hebbinghaus, Nils,; Hinrichs, Aicke,; Kaltenböck, Lisa,; Larcher, Gerhard,; Neumüller, Mario,; Nikolov, Aleksandar,; Stockinger, Wolfgang,; Suzuki, Kosuke,; Travaglini, Giancarlo,; Wnuk, Marcin,
• HerausgeberIn: Bilyk, Dmitriy,; Dick, Josef,; Pillichshammer, Friedrich,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: Radon Series on Computational and Applied Mathematics , 26
• Physical Description: 1 online resource (IX, 216 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110652581; 9783110696288; 9783110696271; 9783110659061; 9783110704716; 9783110704518; 9783110704846; 9783110704662
• ISSN: 1865-3707
• DOI: 10.1515/9783110652581
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: 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, integer points in convex bodies, discrepancy with respect to geometric shapes other than rectangular boxes, and also open problems in discrepany theory.