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Monte Carlo and Quasi-Monte Carlo Methods 1996: Proceedings...

Monte Carlo and Quasi-Monte Carlo Methods 1996: Proceedings of a conference at the University of Salzburg, Austria, July 9–12, 1996

Peter A. Acworth, Mark Broadie (auth.), Harald Niederreiter, Peter Hellekalek, Gerhard Larcher, Peter Zinterhof (eds.)
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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.

Категории:
Год:
1998
Издание:
1
Издательство:
Springer-Verlag New York
Язык:
english
Страницы:
450
ISBN 10:
1461216907
ISBN 13:
9781461216902
Серия:
Lecture Notes in Statistics 127
Файл:
PDF, 37.33 MB
IPFS:
CID , CID Blake2b
english, 1998
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