| 书目名称 | Monte Carlo and Quasi-Monte Carlo Methods |
| 副标题 | MCQMC 2020, Oxford, |
| 编辑 | Alexander Keller |
| 视频video | |
| 概述 | Includes proceedings of MCQMC 2020.Provides major source of information for Monte Carlo and quasi-Monte Carlo researchers.Acts as excellent reference resource in solving high-dimensional computational |
| 丛书名称 | Springer Proceedings in Mathematics & Statistics |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Conference proceedings 2022 |
| 关键词 | Monte Carlo; quasi-Monte Carlo; MCQMC; variance reduction; Low-discrepancy sequences; randomized algorith |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-98319-2 |
| isbn_softcover | 978-3-030-98321-5 |
| isbn_ebook | 978-3-030-98319-2Series ISSN 2194-1009 Series E-ISSN 2194-1017 |
| issn_series | 2194-1009 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:59:39
