Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/360270
Title: Data Assimilation: Mathematical Concepts and Instructive Examples
Authors: Guzzi, Rodolfo.
subject: Computer Science;Water quality.;Water pollution.;Physical geography.;Environmental sciences.;Computer simulation.;Physics;Computer Science;Simulation and Modeling.;Earth System Sciences.;Theoretical, Mathematical and Computational Physics.;Environmenta;QA76.9.C65
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: SpringerBriefs in Earth Sciences, 2191-5369.
SpringerBriefs in Earth Sciences, 2191-5369.
Abstract: 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.
Description: Printed edition: 9783319224091.
URI: http://46.100.53.162/handle/Ebook/50560
http://localhost/handle/Hannan/360270
ISBN: 9783319224107 .
9783319224091 (print)
Appears in Collections:Computer

Files in This Item:
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Title: Data Assimilation: Mathematical Concepts and Instructive Examples
Authors: Guzzi, Rodolfo.
subject: Computer Science;Water quality.;Water pollution.;Physical geography.;Environmental sciences.;Computer simulation.;Physics;Computer Science;Simulation and Modeling.;Earth System Sciences.;Theoretical, Mathematical and Computational Physics.;Environmenta;QA76.9.C65
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: SpringerBriefs in Earth Sciences, 2191-5369.
SpringerBriefs in Earth Sciences, 2191-5369.
Abstract: 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.
Description: Printed edition: 9783319224091.
URI: http://46.100.53.162/handle/Ebook/50560
http://localhost/handle/Hannan/360270
ISBN: 9783319224107 .
9783319224091 (print)
Appears in Collections:Computer

Files in This Item:
File Description SizeFormat 
9783319224107.pdf1.74 MBAdobe PDFThumbnail
Preview File
Title: Data Assimilation: Mathematical Concepts and Instructive Examples
Authors: Guzzi, Rodolfo.
subject: Computer Science;Water quality.;Water pollution.;Physical geography.;Environmental sciences.;Computer simulation.;Physics;Computer Science;Simulation and Modeling.;Earth System Sciences.;Theoretical, Mathematical and Computational Physics.;Environmenta;QA76.9.C65
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: SpringerBriefs in Earth Sciences, 2191-5369.
SpringerBriefs in Earth Sciences, 2191-5369.
Abstract: 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.
Description: Printed edition: 9783319224091.
URI: http://46.100.53.162/handle/Ebook/50560
http://localhost/handle/Hannan/360270
ISBN: 9783319224107 .
9783319224091 (print)
Appears in Collections:Computer

Files in This Item:
File Description SizeFormat 
9783319224107.pdf1.74 MBAdobe PDFThumbnail
Preview File