| 书目名称 | Data Assimilation |
| 副标题 | A Mathematical Intro |
| 编辑 | Kody Law,Andrew Stuart,Konstantinos Zygalakis |
| 视频video | |
| 概述 | Provides a unified mathematical framework for the systematic study of data assimilation.Opens the area of data assimilation to mathematical and computational scientists.Explains how to think about ble |
| 丛书名称 | Texts in Applied Mathematics |
| 图书封面 |  |
| 描述 | .This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online..The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters..This book isaimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to |
| 出版日期 | Textbook 2015 |
| 关键词 | Bayesian Statistics; Data Assimilation; Dynamical Systems; Filtering; Optimization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-20325-6 |
| isbn_softcover | 978-3-319-36687-6 |
| isbn_ebook | 978-3-319-20325-6Series ISSN 0939-2475 Series E-ISSN 2196-9949 |
| issn_series | 0939-2475 |
| copyright | Springer International Publishing Switzerland 2015 |
发表于 2025-3-21 19:39:23
