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
This volume presents research and perspectives on uniform distribution and quasi-Monte Carlo methods, with emphasis on discrepancy, integration, and applications. Featuring contributions from numerous specialists, it offers a focused resource for readers interested in computational and applied mathematics, numerical analysis, and the mathematical foundations of quasi-Monte Carlo techniques.
About This Book
Uniform Distribution and Quasi-Monte Carlo Methods examines core topics in discrepancy theory, numerical integration, and related applications.
As part of the Radon Series on Computational and Applied Mathematics, this volume brings together contributions from an extensive group of international authors.
The book is focused on mathematical methods for understanding uniform distribution and developing quasi-Monte Carlo approaches.
Its subject matter will interest readers exploring computational mathematics, applied mathematics, numerical analysis, and mathematical foundations of integration.
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