Monte Carlo and Quasi-Monte Carlo Methods
Download or Read eBook Monte Carlo and Quasi-Monte Carlo Methods PDF written by Alexander Keller and published by Springer Nature. This book was released on 2022-05-20 with total page 315 pages. Available in PDF, EPUB and Kindle.
| Author | : Alexander Keller |
| Publisher | : Springer Nature |
| Total Pages | : 315 |
| Release | : 2022-05-20 |
| ISBN-10 | : 9783030983192 |
| ISBN-13 | : 3030983196 |
| Rating | : 4/5 (92 Downloads) |
Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods by : Alexander Keller
Book excerpt: This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
