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Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2018, Rennes, France, July 1-6 (Paperback, 1st ed. 2020) Loot Price: R4,566
Discovery Miles 45 660
Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2018, Rennes, France, July 1-6 (Paperback, 1st ed. 2020): Bruno Tuffin,...

Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2018, Rennes, France, July 1-6 (Paperback, 1st ed. 2020)

Bruno Tuffin, Pierre L'Ecuyer

Series: Springer Proceedings in Mathematics & Statistics, 324

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Loot Price R4,566 Discovery Miles 45 660 | Repayment Terms: R428 pm x 12*

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This book presents the refereed proceedings of the 13th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Rennes, France, and organized by Inria, in July 2018. 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Proceedings in Mathematics & Statistics, 324
Release date: May 2021
First published: 2020
Editors: Bruno Tuffin • Pierre L'Ecuyer
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 539
Edition: 1st ed. 2020
ISBN-13: 978-3-03-043467-0
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN: 3-03-043467-2
Barcode: 9783030434670

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