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02810nam a22005295i 4500 |
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|a 9783319183473
|9 978-3-319-18347-3
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|a 10.1007/978-3-319-18347-3
|2 doi
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|a MAT034000
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|a 515.39
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|a 515.48
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|a Van Leeuwen, Peter Jan.
|e author.
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|a Nonlinear Data Assimilation
|h [electronic resource] /
|c by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XII, 118 p. 19 illus., 15 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Frontiers in Applied Dynamical Systems: Reviews and Tutorials,
|x 2364-4532 ;
|v 2
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|a 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.
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|a Mathematics.
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|a Dynamics.
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|a Ergodic theory.
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|a Mathematical physics.
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|a Computer mathematics.
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|a Mathematics.
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|a Dynamical Systems and Ergodic Theory.
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|a Computational Mathematics and Numerical Analysis.
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|a Mathematical Applications in the Physical Sciences.
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|a Cheng, Yuan.
|e author.
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|a Reich, Sebastian.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319183466
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|a Frontiers in Applied Dynamical Systems: Reviews and Tutorials,
|x 2364-4532 ;
|v 2
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|u http://dx.doi.org/10.1007/978-3-319-18347-3
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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