Strategies for Quasi-Monte Carlo, Bennett L. Fox

Автор: Bennett L. Fox
Название: Strategies for Quasi-Monte Carlo
ISBN: 1461373794 ISBN-13(EAN): 9781461373797
Издательство: Springer
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Описание: Strategies for Quasi-Monte Carlo builds a framework to design and analyze strategies for randomized quasi-Monte Carlo (RQMC).

Автор: Christiane Lemieux
Название: Monte Carlo and Quasi-Monte Carlo Sampling
ISBN: 1441926763 ISBN-13(EAN): 9781441926760
Издательство: Springer
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Описание: Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. This book presents all of the essential tools for using quasi-Monte Carlo sampling on practical problems, especially in finance.

Автор: Leszek Plaskota; Henryk Wo?niakowski
Название: Monte Carlo and Quasi-Monte Carlo Methods 2010
ISBN: 366252158X ISBN-13(EAN): 9783662521588
Издательство: Springer
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Описание: This book represents the refereed proceedings of the Ninth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Warsaw (Poland) in August 2010.

Автор: Harald Niederreiter; Jerome Spanier
Название: Monte-Carlo and Quasi-Monte Carlo Methods 1998
ISBN: 354066176X ISBN-13(EAN): 9783540661764
Издательство: Springer
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Описание: This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Claremont Graduate University in 1998.

Автор: Josef Dick; Frances Y. Kuo; Gareth W. Peters; Ian
Название: Monte Carlo and Quasi-Monte Carlo Methods 2012
ISBN: 3662514389 ISBN-13(EAN): 9783662514382
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012.

Автор: Harald Niederreiter; Peter J. Shiue
Название: Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
ISBN: 0387945776 ISBN-13(EAN): 9780387945774
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Scientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo methods which make use of probabilistic simulations are frequently used in areas such as numerical integration, complex scheduling, queueing networks, and large-dimensional simulations.

Автор: Harald Niederreiter; Peter Hellekalek; Gerhard Lar
Название: Monte Carlo and Quasi-Monte Carlo Methods 1996
ISBN: 038798335X ISBN-13(EAN): 9780387983356
Издательство: Springer
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Описание: Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. 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.

Автор: Kai-Tai Fang; Fred J. Hickernell; Harald Niederrei
Название: Monte Carlo and Quasi-Monte Carlo Methods 2000
ISBN: 354042718X ISBN-13(EAN): 9783540427186
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Описание: Contains the proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing held in Hong Kong in 2000. It includes surveys of multidimensional numerical integration, low-discrepancy point sets, random number generation and applications.

Автор: Josef Dick; Frances Y. Kuo; Gareth W. Peters; Ian
Название: Monte Carlo and Quasi-Monte Carlo Methods 2012
ISBN: 3642410944 ISBN-13(EAN): 9783642410949
Издательство: Springer
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Описание: This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012.

Автор: Antonio Di Nola; Revaz Grigolia; Esko Turunen
Название: Fuzzy Logic of Quasi-Truth: An Algebraic Treatment
ISBN: 3319304046 ISBN-13(EAN): 9783319304045
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Описание: This book presents the first algebraic treatment of quasi-truth fuzzylogic and covers the algebraic foundations of many-valued logic. The book presents perfect algebras as an interestingsubclass of local MV-algebras and provides readers with the necessary knowledgeand tools for formalizing the fuzzy concept of quasi true and quasi false.

Автор: J. Beck; Peter Hellekalek; Gerhard Larcher; P. Hel
Название: Random and Quasi-Random Point Sets
ISBN: 0387985549 ISBN-13(EAN): 9780387985541
Издательство: Springer
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Описание: This volume is a collection of survey papers on recent developments in the fields of quasi-Monte Carlo methods and uniform random number generation. Hence, both in uniform random number generation and in quasi-Monte Carlo methods, we study the uniformity of deterministically generated point sets in high dimensions.