Data Assimilation: A Mathematical Introduction: 62 (Texts in Applied Mathematics, 62) - Image 1

£40.88

Springer Data Assimilation: A Mathematical Introduction: 62 (Texts in Applied Mathematics, 62)

Name: Data Assimilation: A Mathematical Introduction: 62 (Texts in Applied Mathematics, 62)
Brand: Springer
Price: 37.39 GBP
Availability: InStock

Engineering Physics

Price History & Forecast

Last 43 days • 43 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 43 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £41 (38 days, 88.4%)

Price range: £37 - £41

Price levels: 2 different prices over 43 days

Description

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 combine data with time-dependent 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 mathematics, either through a lecture course, or through self-study.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319366874
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Engineering Physics
Domain: Amazon UK
Release Date: 22 October 2016
Listed Since: 28 October 2016

Barcode

No barcode data available

Springer Data Assimilation: A Mathematical Introduction: 62 (Texts in Applied Mathematics, 62)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Data Assimilation: A Mathematical Introduction: 62 (Texts in Applied Mathematics, 62)

Data Assimilation for the Geosciences: From Theory to Application

Data Assimilation: The Ensemble Kalman Filter

Springer - Data Assimilation: Making Sense of Observations

Data Assimilation: Methods, Algorithms, and Applications (Fundamentals of Algorithms)

Dynamic Data Assimilation: A Least Squares Approach: 104 (Encyclopedia of Mathematics and its Applications, Series Number 104)

The Statistical Physics of Data Assimilation and Machine Learning

Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

An Introduction to Statistical Data Science: Theory and Models

Earth Systems Data Processing and Visualization Using MATLAB (Advances in Science, Technology & Innovation)

Springer Data Assimilation for the Earth System - NATO Series

Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

Temporal GIS: Advanced Functions for Field-Based Applications

Principles of Data Assimilation

A Mathematical Introduction to Data Science

Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)

Basic Environmental Data Analysis for Scientists and Engineers

A Guide to Empirical Orthogonal Functions for Climate Data Analysis

Computational Methods for Data Evaluation and Assimilation

Environmental Data Analysis with Matlab

Geophysical Data Analysis: Discrete Inverse Theory: MATLAB Edition: Volume 45 (International Geophysics, Volume 45)

Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications