Data Assimilation: A Mathematical Introduction

Data Science Published 2015 External Page Only

Overview & Synopsis

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.

Indexed from repository: FreeComputerBooks.com (freecomputerbooks.com)

Document Information

Document Title Data Assimilation: A Mathematical Introduction
Author / Organization Kody Law (Author),‎ Andrew Stuart (Author),‎ Konstantinos Zygalakis (Author)
Subject & Discipline Data Science, Data Analysis and Data Mining, Big Data, Statistics, Mathematical Statistics, and SAS Programming, Applied Mathematics
Categories Data Science
Publication Year 2015
ISBN 978-3319203249
License / Rights Creative Commons License (CC)
Resource Verification External Reading Page / Repository
Alternative Mirrors & Links
Original Host Website FreeComputerBooks.com (freecomputerbooks.com)
File Format application/pdf (Portable Document Format)
Language ENGLISH
Catalog ID DOC-261543
Original Source Link Visit Source Page on freecomputerbooks.com »
Commercial / Print Edition

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