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Synopsis
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 andformulas to manage the data assimilation everywhere a dynamic system is present.
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Data Assimilation: Mathematical Concepts and Instructive Examples (SpringerBriefs in Earth Sciences)
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Springer, 2015
ISBN 10 : 3319224093
ISBN 13 : 9783319224091
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Data Assimilation: Mathematical Concepts and Instructive Examples
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ISBN 10 : 3319224093
ISBN 13 : 9783319224091
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Data Assimilation: Mathematical Concepts and Instructive Examples
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Springer International Publishing, Springer Nature Switzerland, 2015
ISBN 10 : 3319224093
ISBN 13 : 9783319224091
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 andformulas to manage the data assimilation everywhere a dynamic system is present. N° de réf. du vendeur 9783319224091
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Data Assimilation: Mathematical Concepts and Instructive Examples
ISBN 10 : 3319224093
ISBN 13 : 9783319224091
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 andformulas to manage the data assimilation everywhere a dynamic system is present. 144 pp. Englisch. N° de réf. du vendeur 9783319224091
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Data Assimilation: Mathematical Concepts and Instructive Examples
ISBN 10 : 3319224093
ISBN 13 : 9783319224091
Neuf
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Taschenbuch. Etat : Neu. Neuware -This bookendeavours 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 andformulas to manage the data assimilation everywhere a dynamic system is present.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 144 pp. Englisch. N° de réf. du vendeur 9783319224091
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Data Assimilation: Mathematical Concepts and Instructive Examples (SpringerBriefs in Earth Sciences)
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Data Assimilation: Mathematical Concepts and Instructive Examples (SpringerBriefs in Earth Sciences)
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Data Assimilation: Mathematical Concepts and Instructive Examples (SpringerBriefs in Earth Sciences)
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Data Assimilation: Mathematical Concepts and Instructive Examples
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