Uniform Distribution and Quasi-Monte Carlo Methods: Discrepancy, Integration and Applications

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Christoph Aistleitner Jozsef Beck

Uniform Distribution and Quasi-Monte Carlo Methods

Discrepancy, Integration and Applications

Christoph Aistleitner, Jozsef Beck, Dmitriy Bilyk , Josef Dick

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English

De Gruyter
26 May 2014

Algebra; Number theory; Probability & statistics; Applied mathematics; Graphical & digital media applications

Series: Radon Series on Computational and Applied Mathematics

"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."

Contributions by: Michael Drmota
Edited by: Christoph Aistleitner, Jozsef Beck, Dmitriy Bilyk, Josef Dick
Imprint: De Gruyter
Country of Publication: Germany
Volume: 15
Dimensions: Height: 240mm, Width: 170mm,
Weight: 589g
ISBN: 9783110317893
ISBN 10: 3110317893
Series: Radon Series on Computational and Applied Mathematics
Pages: 269
Publication Date: 26 May 2014
Recommended Age: College Graduate Student
Audience: Professional and scholarly , Undergraduate , Undergraduate
Format: Hardback
Publisher's Status: Active

Peter Kritzer, Harald Niederreiter, Friedrich Pillichshammer, and Arne Winterhof, JKU Linz, Austria.