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Monte Carlo and Quasi-Monte Carlo Methods 1996 - Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996 (Paperback, and ed.) Loot Price: R1,738
Discovery Miles 17 380
Monte Carlo and Quasi-Monte Carlo Methods 1996 - Proceedings of a Conference at the University of Salzburg, Austria, July 9-12,...

Monte Carlo and Quasi-Monte Carlo Methods 1996 - Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996 (Paperback, and ed.)

Harald Niederreiter, Peter Hellekalek, Gerhard Larcher, Peter Zinterhof

Series: Lecture Notes in Statistics, 127

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Loot Price R1,738 Discovery Miles 17 380 | Repayment Terms: R163 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Lecture Notes in Statistics, 127
Release date: 2001
First published: December 1997
Editors: Harald Niederreiter • Peter Hellekalek • Gerhard Larcher • Peter Zinterhof
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Paperback
Pages: 450
Edition: and ed.
ISBN-13: 978-0-387-98335-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
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LSN: 0-387-98335-X
Barcode: 9780387983356

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