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Nonlinear Data Assimilation / by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich
(Frontiers in Applied Dynamical Systems: Reviews and Tutorials. ISSN:23644931 ; 2)
版 | 1st ed. 2015. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2015 |
大きさ | XII, 118 p. 19 illus., 15 illus. in color : online resource |
著者標目 | *Van Leeuwen, Peter Jan author Cheng, Yuan author Reich, Sebastian author SpringerLink (Online service) |
件 名 | LCSH:Dynamical systems LCSH:Mathematics—Data processing LCSH:Mathematical physics FREE:Dynamical Systems FREE:Computational Mathematics and Numerical Analysis FREE:Mathematical Physics |
一般注記 | 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 HTTP:URL=https://doi.org/10.1007/978-3-319-18347-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319183473 |
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電子リソース |
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EB00207280 |
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※2017年9月4日以降