Data Assimilation: Mathematical Concepts and Instructive Examples (Paperback, 1st ed. 2015)

This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time. The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first methods to the most recent as those developed under the Monte Carlo methods. The second chapter treats the representation of the physical system as an ontological basis of the problem. The third chapter deals with the classical Kalman filter, while the fourth chapter deals with the advanced methods based on recursive Bayesian Estimation. A special chapter, the fifth, deals with the possible applications, from the first Lorenz model, passing trough the biology and medicine up to planetary assimilation, mainly on Mars. This book serves both teachers and college students, and other interested parties providing the algorithms and formulas to manage the data assimilation everywhere a dynamic system is present.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Earth Sciences
Release date:	September 2015
First published:	2015
Authors:	Rodolfo Guzzi
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	135
Edition:	1st ed. 2015
ISBN-13:	978-3-319-22409-1
Categories:	Books > Science & Mathematics > Physics > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	3-319-22409-3
Barcode:	9783319224091

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