Discrepancy Theory
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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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Berlin, Boston
De Gruyter
2020, ©2020
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| Series: | Radon Series on Computational and Applied Mathematics
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| Subjects: | |
| Online Access: | |
| Collection: | DeGruyter MPG Collection - Collection details see MPG.ReNa |
| Summary: | 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. -- A collection of surveys in discrepancy theory -- Covers all related applications areas, including discrete mathematics, number theory, and computation -- Covers all related applications areas, including discrete mathematics, number theory, and computation |
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| Physical Description: | IX 216 Seiten |
| ISBN: | 978-3-11-065258-1 978-3-11-065120-1 |