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- Title: Data Assimilation: A Mathematical Introduction
- Author(s) Kody Law (Author), Andrew Stuart (Author), Konstantinos Zygalakis (Author)
- Publisher: Springer; 1st ed. 2015 edition; eBook (Open Access Edition by Arxiv.org)
- License(s): Creative Commons License (CC)
- Hardcover 242 pages
- eBook: PDF, PostScript, etc.
- Language: English
- ISBN-10/ASIN: 331920324X
- ISBN-13: 978-3319203249
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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.
About the Authors- Kody Law is a Mathematician in the Computer Science and Mathematics Division at Oak Ridge National Laboratory.
- Data Science
- Data Analysis and Data Mining, Big Data
- Statistics, Mathematical Statistics, and SAS Programming
- Applied Mathematics
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