Uniform Distribution and Quasi-Monte Carlo Methods: Discrepancy, Integration and Applications (Radon Series on Computational and Applied Mathematics, 15)
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Uniform Distribution and Quasi-Monte Carlo Methods: Discrepancy, Integration and Applications (Radon Series on Computational and Applied Mathematics, 15)

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

Mathematics Numerical Analysis computational mathematics
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Explores uniform distribution theory and quasi-Monte Carlo methods, focusing on discrepancy, integration techniques, and computational applications in mathematics.

About This Book

This book presents advanced research on uniform distribution theory and quasi-Monte Carlo methods.

Topics include discrepancy theory, numerical integration, and their applications in computational mathematics.

Contributions from leading experts provide both theoretical foundations and practical insights.

The volume is part of the Radon Series on Computational and Applied Mathematics.

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I will be using this book for: