Monte Carlo and Quasi-Monte Carlo Methods
MCQMC, Leuven, Belgium, April 2014
Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Applied
| Author: | ISBN: | 9783319335070 | |
| Publisher: | Springer International Publishing | Publication: | June 13, 2016 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319335070 |
| Publisher: | Springer International Publishing |
| Publication: | June 13, 2016 |
| Imprint: | Springer |
| Language: | English |
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.
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.
