Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2016, Stanford, CA, August 14-19 (Springer Proceedings in Mathematics & Statistics, 241)
Language: English
Published by Springer, 2018
Series: Book 237 of 464 - Springer Proceedings in Mathematics & Statistics
- First Edition
- Hardcover
- Used
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- Title
- Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2016, Stanford, CA, August 14-19 (Springer Proceedings in Mathematics & Statistics, 241)
- Author
- Owen, Glynn
- Publisher
- Springer
- Publication year
- 2018
- Condition
- Very good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319914359
- ISBN 13
- 9783319914350
- Edition
- 1st Edition
- Item weight
- 862 grams
- Dimensions
- 2.69 centimeters width by 15.6 centimeters height by 23.39 centimeters depth
- Series
- Book 237 of 464: Springer Proceedings in Mathematics & Statistics
This book presents the refereed proceedings of the Twelfth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at Stanford University (California) in August 2016. 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, computer graphics and the solution of PDEs.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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, computer graphics and the solution of PDEs.
"About the title" may belong to another edition of this title.
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