Uniform Distribution and Quasi-Monte Carlo Methods
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Edited by:
Peter Kritzer
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With contributions by:
Christoph Aistleitner
About this book
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.
Author / Editor information
Peter Kritzer, Harald Niederreiter, Friedrich Pillichshammer, and Arne Winterhof, JKU Linz, Austria.
Supplementary Materials
Topics
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Christoph Aistleitner Requires Authentication Unlicensed Licensed Download PDF |
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József Beck Requires Authentication Unlicensed Licensed Download PDF |
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Dmitriy Bilyk Requires Authentication Unlicensed Licensed Download PDF |
45 |
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Josef Dick and Friedrich Pillichshammer Requires Authentication Unlicensed Licensed Download PDF |
63 |
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Michael Drmota Requires Authentication Unlicensed Licensed Download PDF |
87 |
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Henri Faure Requires Authentication Unlicensed Licensed Download PDF |
105 |
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Peter Hellekalek Requires Authentication Unlicensed Licensed Download PDF |
127 |
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Peter Kritzer, Friedrich Pillichshammer and Henryk Woźniakowski Requires Authentication Unlicensed Licensed Download PDF |
147 |
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Gerhard Larcher Requires Authentication Unlicensed Licensed Download PDF |
171 |
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Gunther Leobacher Requires Authentication Unlicensed Licensed Download PDF |
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Dirk Nuyens Requires Authentication Unlicensed Licensed Download PDF |
223 |
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