Monte Carlo and Quasi-Monte Carlo Methods 1996

Monte Carlo and Quasi-Monte Carlo Methods 1996
Author: Harald Niederreiter
Publisher: Springer Science & Business Media
Total Pages: 463
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461216907


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Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This volume contains the refereed proceedings of the Second International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at the University of Salzburg (Austria) from July 9--12, 1996. The conference was a forum for recent progress in the theory and the applications of these methods. The topics covered in this volume range from theoretical issues in Monte Carlo and simulation methods, low-discrepancy point sets and sequences, lattice rules, and pseudorandom number generation to applications such as numerical integration, numerical linear algebra, integral equations, binary search, global optimization, computational physics, mathematical finance, and computer graphics. These proceedings will be of interest to graduate students and researchers in Monte Carlo and quasi-Monte Carlo methods, to numerical analysts, and to practitioners of simulation methods.


Monte Carlo and Quasi-Monte Carlo Methods 1996
Language: en
Pages: 463
Authors: Harald Niederreiter
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This volume contains the refe
Monte Carlo and Quasi-Monte Carlo Methods 1996
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Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This volume contains the refe
Monte Carlo and Quasi-Monte Carlo Methods
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This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that w
Introduction to Quasi-Monte Carlo Integration and Applications
Language: en
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Type: BOOK - Published: 2014-09-12 - Publisher: Springer

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This textbook introduces readers to the basic concepts of quasi-Monte Carlo methods for numerical integration and to the theory behind them. The comprehensive t
Modeling Uncertainty
Language: en
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Type: BOOK - Published: 2002-01-31 - Publisher: Springer Science & Business Media

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Writing in honour of Sid Yakowitz, 50 internationally known scholars have collectively contributed 30 papers on modelling uncertainty to this volume. These incl