Data Assimilation: A Mathematical Introduction
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
Prefer a Physical Book or Kindle Edition?
Data Assimilation: A Mathematical Introduction • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.