Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Harald Niederreiter; Peter J. Shiue
Автор: Glasserman Название: Monte Carlo Methods in Financial Engineering ISBN: 0387004513 ISBN-13(EAN): 9780387004518 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not."
Автор: Kai-Tai Fang; Fred J. Hickernell; Harald Niederrei Название: Monte Carlo and Quasi-Monte Carlo Methods 2000 ISBN: 354042718X ISBN-13(EAN): 9783540427186 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Christiane Lemieux Название: Monte Carlo and Quasi-Monte Carlo Sampling ISBN: 1441926763 ISBN-13(EAN): 9781441926760 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Cools Название: Monte Carlo and Quasi-Monte Carlo Methods ISBN: 3319335057 ISBN-13(EAN): 9783319335056 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.
Автор: Harald Niederreiter; Peter Hellekalek; Gerhard Lar Название: Monte Carlo and Quasi-Monte Carlo Methods 1996 ISBN: 038798335X ISBN-13(EAN): 9780387983356 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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 Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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; Jerome Spanier Название: Monte-Carlo and Quasi-Monte Carlo Methods 1998 ISBN: 354066176X ISBN-13(EAN): 9783540661764 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Bennett L. Fox Название: Strategies for Quasi-Monte Carlo ISBN: 1461373794 ISBN-13(EAN): 9781461373797 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Strategies for Quasi-Monte Carlo builds a framework to design and analyze strategies for randomized quasi-Monte Carlo (RQMC).
Автор: Bennett L. Fox Название: Strategies for Quasi-Monte Carlo ISBN: 0792385802 ISBN-13(EAN): 9780792385806 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers a framework to design and analyze strategies for randomized quasi-Monte Carlo (RQMC). This book provides illustrations for problems involving Poisson processes or Gaussian processes. It is useful for those individuals interested in improving simulation efficiency with more than incremental increases.
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