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De Gruyter Discrepancy Theory: 26 (Radon Series on Computational and Applied Mathematics, 26)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 January 2020
Listed Since
18 September 2019

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