Proof Techniques in Quasi-Monte Carlo Theory

Abstract

In this survey paper we discuss some tools and methods which are of use in quasi-Monte Carlo (QMC) theory. We group them in chapters on Numerical Analysis, Harmonic Analysis, Algebra and Number Theory, and Probability Theory. We do not provide a comprehensive survey of all tools, but focus on a few of them, including reproducing and covariance kernels, Littlewood-Paley theory, Riesz products, Minkowski's fundamental theorem, exponential sums, diophantine approximation, Hoeffding's inequality and empirical processes, as well as other tools. We illustrate the use of these methods in QMC using examples.

Revised version

References in corpus (1)

• A Lower Bound for the Discrepancy of a Random Point Set

Cited by in corpus (1)

• The inverse of the star-discrepancy problem and the generation of pseudo-random numbers