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 Includes contributions from leading experts in the field
D. Bilyk, Univ. of Minnesota, USA; J. Dick, Univ. of New South Wales, Australia; F. Pillichshammer, Johannes Kepler Univ. Linz, Austria.