Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/360270
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dc.contributor.authorGuzzi, Rodolfo.en_US
dc.date2016en_US
dc.date.accessioned2020-05-16T10:59:52Z-
dc.date.available2020-05-16T10:59:52Z-
dc.date.issued2016en_US
dc.identifier.isbn9783319224107 .en_US
dc.identifier.isbn9783319224091 (print)en_US
dc.identifier.urihttp://46.100.53.162/handle/Ebook/50560en_US
dc.identifier.urihttp://localhost/handle/Hannan/360270-
dc.descriptionPrinted edition: 9783319224091.en_US
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityby Rodolfo Guzzi.en_US
dc.description.tableofcontentsPreface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.en_US
dc.publisherSpringer International Publishing :.en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.haspart9783319224107.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectWater quality.en_US
dc.subjectWater pollution.en_US
dc.subjectPhysical geography.en_US
dc.subjectEnvironmental sciences.en_US
dc.subjectComputer simulation.en_US
dc.subjectPhysicsen_US
dc.subjectComputer Scienceen_US
dc.subjectSimulation and Modeling.en_US
dc.subjectEarth System Sciences.en_US
dc.subjectTheoretical, Mathematical and Computational Physics.en_US
dc.subjectEnvironmentaen_US
dc.subject.lccQA76.9.C65en_US
dc.titleData Assimilation: Mathematical Concepts and Instructive Examplesen_US
dc.typeBooken_US
dc.publisher.placeChamen_US
dc.date.edition1st ed. 2016.en_US
Appears in Collections:Computer

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Full metadata record
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dc.contributor.authorGuzzi, Rodolfo.en_US
dc.date2016en_US
dc.date.accessioned2020-05-16T10:59:52Z-
dc.date.available2020-05-16T10:59:52Z-
dc.date.issued2016en_US
dc.identifier.isbn9783319224107 .en_US
dc.identifier.isbn9783319224091 (print)en_US
dc.identifier.urihttp://46.100.53.162/handle/Ebook/50560en_US
dc.identifier.urihttp://localhost/handle/Hannan/360270-
dc.descriptionPrinted edition: 9783319224091.en_US
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityby Rodolfo Guzzi.en_US
dc.description.tableofcontentsPreface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.en_US
dc.publisherSpringer International Publishing :.en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.haspart9783319224107.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectWater quality.en_US
dc.subjectWater pollution.en_US
dc.subjectPhysical geography.en_US
dc.subjectEnvironmental sciences.en_US
dc.subjectComputer simulation.en_US
dc.subjectPhysicsen_US
dc.subjectComputer Scienceen_US
dc.subjectSimulation and Modeling.en_US
dc.subjectEarth System Sciences.en_US
dc.subjectTheoretical, Mathematical and Computational Physics.en_US
dc.subjectEnvironmentaen_US
dc.subject.lccQA76.9.C65en_US
dc.titleData Assimilation: Mathematical Concepts and Instructive Examplesen_US
dc.typeBooken_US
dc.publisher.placeChamen_US
dc.date.edition1st ed. 2016.en_US
Appears in Collections:Computer

Files in This Item:
File Description SizeFormat 
9783319224107.pdf1.74 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGuzzi, Rodolfo.en_US
dc.date2016en_US
dc.date.accessioned2020-05-16T10:59:52Z-
dc.date.available2020-05-16T10:59:52Z-
dc.date.issued2016en_US
dc.identifier.isbn9783319224107 .en_US
dc.identifier.isbn9783319224091 (print)en_US
dc.identifier.urihttp://46.100.53.162/handle/Ebook/50560en_US
dc.identifier.urihttp://localhost/handle/Hannan/360270-
dc.descriptionPrinted edition: 9783319224091.en_US
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityby Rodolfo Guzzi.en_US
dc.description.tableofcontentsPreface -- 1. Introduction through historical perspective -- 2. Representation of the physical system -- 3. Sequential interpolation -- 4. Advanced data assimilation methods -- 5. Applications -- A. Appendix.en_US
dc.publisherSpringer International Publishing :.en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.ispartofseriesSpringerBriefs in Earth Sciences, 2191-5369.en_US
dc.relation.haspart9783319224107.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectWater quality.en_US
dc.subjectWater pollution.en_US
dc.subjectPhysical geography.en_US
dc.subjectEnvironmental sciences.en_US
dc.subjectComputer simulation.en_US
dc.subjectPhysicsen_US
dc.subjectComputer Scienceen_US
dc.subjectSimulation and Modeling.en_US
dc.subjectEarth System Sciences.en_US
dc.subjectTheoretical, Mathematical and Computational Physics.en_US
dc.subjectEnvironmentaen_US
dc.subject.lccQA76.9.C65en_US
dc.titleData Assimilation: Mathematical Concepts and Instructive Examplesen_US
dc.typeBooken_US
dc.publisher.placeChamen_US
dc.date.edition1st ed. 2016.en_US
Appears in Collections:Computer

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