Data Assimilation : A Mathematical Introduction
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The work Data Assimilation : A Mathematical Introduction represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Data Assimilation : A Mathematical Introduction
Resource Information
The work Data Assimilation : A Mathematical Introduction represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Data Assimilation : A Mathematical Introduction
 Title remainder
 A Mathematical Introduction
 Statement of responsibility
 by Kody Law, Andrew Stuart, Konstantinos Zygalakis
 Subject

 Statistics
 Differentiable dynamical systems
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Distribution (Probability theory
 Computational Mathematics and Numerical Analysis
 Probability Theory and Stochastic Processes
 Dynamical Systems and Ergodic Theory
 Computer science  Mathematics
 Language

 eng
 eng
 Summary
 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 is aimed 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 combine data with timedependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathema tics, either through a lecture course, or through selfstudy.
 Dewey number

 515.39
 515.48
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

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 YYi4g6T2A4
 pju7Sh7JZNo
 Image bit depth
 0
 Language note
 English
 LC call number
 QA313
 Literary form
 non fiction
 Series statement
 Texts in Applied Mathematics,
 Series volume
 62
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