1.

Record Nr.

UNINA9910828403003321

Titolo

Uniform distribution and Quasi-Monte Carlo methods : discrepancy, integration and applications / / edited by Peter Kritzer [and three others]

Pubbl/distr/stampa

Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2014

©2014

ISBN

3-11-037503-6

3-11-031793-1

Descrizione fisica

1 online resource (270 p.)

Collana

Radon Series on Computational and Applied Mathematics, , 1865-3707 ; ; Volume 15

Classificazione

SK 180

Disciplina

515.782

Soggetti

Uniform distribution (Probability theory)

Monte Carlo method

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Front matter -- Preface -- Contents -- Metric number theory, lacunary series and systems of dilated functions / Aistleitner, Christoph -- Strong uniformity / Beck, József -- Discrepancy theory and harmonic analysis / Bilyk, Dmitriy -- Explicit constructions of point sets and sequences with low discrepancy / Dick, Josef / Pillichshammer, Friedrich -- Subsequences of automatic sequences and uniform distribution / Drmota, Michael -- On Atanassov's methods for discrepancy bounds of low-discrepancy sequences / Faure, Henri -- The hybrid spectral test: a unifying concept / Hellekalek, Peter -- Tractability of multivariate analytic problems / Kritzer, Peter / Pillichshammer, Friedrich / Woźniakowski, Henryk -- Discrepancy estimates for sequences: new results and open problems / Larcher, Gerhard -- A short introduction to quasi-Monte Carlo option pricing / Leobacher, Gunther -- The construction of good lattice rules and polynomial lattice rules / Nuyens, Dirk -- Index -- Backmatter

Sommario/riassunto

This book is summarizing the results of the workshop "Uniform Distribution and Quasi-Monte Carlo Methods" of the RICAM Special Semester on "Applications of Algebra and Number Theory" in October 2013. The survey articles in this book focus on number theoretic point



constructions, uniform distribution theory, and quasi-Monte Carlo methods. As deterministic versions of the Monte Carlo method, quasi-Monte Carlo rules enjoy increasing popularity, with many fruitful applications in mathematical practice, as for example in finance, computer graphics, and biology. The goal of this book is to give an overview of recent developments in uniform distribution theory, quasi-Monte Carlo methods, and their applications, presented by leading experts in these vivid fields of research.