Kritzer / Niederreiter / Pillichshammer Uniform Distribution and Quasi-Monte Carlo Methods

Discrepancy, Integration and Applications
1. Auflage 2014
ISBN: 978-3-11-037503-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 269 Seiten

Reihe: ISSN

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.

Zielgruppe

Researchers in Mathematics, Finance, Biology, and Computer Scienc

Autoren/Hrsg.

Kritzer, Peter

Niederreiter, Harald

Pillichshammer, Friedrich

Winterhof, Arne

Weitere Mitwirkende

Aistleitner, Christoph

Beck, Jozsef

Bilyk, Dmitriy

Dick, Josef

Drmota, Michael

Faure, Henri

Hellekalek, Peter

Larcher, Gerhard

Leobacher, Gunther

Nuyens, Dirk

Wozniakowski, Henryk

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Algebra Algebraische Strukturen, Gruppentheorie

Über Autor(innen)

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