| 书目名称 | Stochastic Methods for Modeling and Predicting Complex Dynamical Systems | | 副标题 | Uncertainty Quantifi | | 编辑 | Nan Chen | | 视频video | | | 概述 | Combines qualitative and quantitative modeling and efficient computational methods.Presents topics from nonlinear dynamics, stochastic modeling, numerical algorithms, and real applications.Includes MA | | 丛书名称 | Synthesis Lectures on Mathematics & Statistics | | 图书封面 |  | | 描述 | This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational sc | | 出版日期 | Textbook 2023 | | 关键词 | Stochastic Methods; Complex Systems; Uncertainty Quantification; Extreme Events; Non-Gaussian Features; P | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-22249-8 | | isbn_softcover | 978-3-031-22251-1 | | isbn_ebook | 978-3-031-22249-8Series ISSN 1938-1743 Series E-ISSN 1938-1751 | | issn_series | 1938-1743 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:25:01
