| 書目名稱 | Monte Carlo and Quasi-Monte Carlo Methods | | 副標(biāo)題 | MCQMC 2020, Oxford, | | 編輯 | Alexander Keller | | 視頻video | http://file.papertrans.cn/640/639123/639123.mp4 | | 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 | | 叢書名稱 | Springer Proceedings in Mathematics & Statistics | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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 |
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