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

By Peter Kritzer (Editor), Harald Niederreiter (Editor), Friedrich Pillichshammer (Editor), Arne Winterhof (Editor), Christoph Aistleitner (Contribution by), Jozsef Beck (Contribution by), Dmitriy Bilyk (Contribution by), Josef Dick (Contribution by), Michael Drmota (Contribution by), Henri Faure (Contribution by), Peter Hellekalek (Contribution by), Gerhard Larcher (Contribution by), Gunther Leobacher (Contribution by), Dirk Nuyens (Contribution by), Henryk Wozniakowski (Contribution by)
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By Peter Kritzer (Editor), Harald Niederreiter (Editor), Friedrich Pillichshammer (Editor), Arne Winterhof (Editor), Christoph Aistleitner (Contribution by), Jozsef Beck (Contribution by), Dmitriy Bilyk (Contribution by), Josef Dick (Contribution by), Michael Drmota (Contribution by), Henri Faure (Contribution by), Peter Hellekalek (Contribution by), Gerhard Larcher (Contribution by), Gunther Leobacher (Contribution by), Dirk Nuyens (Contribution by), Henryk Wozniakowski (Contribution by)
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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.

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Science & TechnologyMathematicsNumber Theory