Nonlinear Data Assimilation

Van Leeuwen, Peter Jan; Reich, Sebastian; Cheng, Yuan

ISBN 10: 331918346X ISBN 13: 9783319183466

Editorial: Springer, 2015

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Unread book in perfect condition. N� de ref. del art�culo 23669783

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Sinopsis:

This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.

Acerca del autor:

Peter Jan van Leeuwen is a Professor of Data Assimilation at the University of Reading. His research interests include nonlinear data assimilation, geophysical fluid dynamics, interaction thermohaline and wind-driven ocean circulation, and perturbation theory.

Sebastian Reich is a Professor in the Department of Numerical Mathematics at Universit�t Potsdam. His research interests include uncertainty quantification, geophysical fluid dynamics, molecular dynamics, and geometric integration.

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Detalles bibliogr�ficos

T�tulo: Nonlinear Data Assimilation
Editorial: Springer
A�o de publicaci�n: 2015
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: As New

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Algorithms for Nonlinear Data Assimilation

Peter Jan Van Leeuwen|Yuan Cheng|Sebastian Reich

Publicado por Springer International Publishing, 2015

ISBN 10: 331918346X ISBN 13: 9783319183466

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Consists of two contributions by leading experts in the fieldProvides a proper introduction of localization in particle filters, which is lacking in current literatureGives insight to sophisticated numerical techniques Pet. N� de ref. del art�culo: 32576793

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Nonlinear Data Assimilation

Peter Jan Van Leeuwen (u. a.)

Publicado por Springer, 2015

ISBN 10: 331918346X ISBN 13: 9783319183466

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Nonlinear Data Assimilation

Peter Jan Van Leeuwen

Publicado por Springer, Springer Nature Switzerland Jul 2015, 2015

ISBN 10: 331918346X ISBN 13: 9783319183466

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters.The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. N� de ref. del art�culo: 9783319183466

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Nonlinear Data Assimilation

Peter Jan Van Leeuwen

Publicado por Springer International Publishing Jul 2015, 2015

ISBN 10: 331918346X ISBN 13: 9783319183466

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters.The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now. 132 pp. Englisch. N� de ref. del art�culo: 9783319183466

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Nonlinear Data Assimilation

Peter Jan Van Leeuwen

Publicado por Springer International Publishing, 2015

ISBN 10: 331918346X ISBN 13: 9783319183466

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters.The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now. N� de ref. del art�culo: 9783319183466

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