大葉大學圖書館 |

Nonlinear data assimilation[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	511.8
書名/作者:	Nonlinear data assimilation/ by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
作者:	Leeuwen, Peter Jan van.
其他作者:	Cheng, Yuan.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xii, 116 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Simulation methods.
標題:	Mathematical models.
標題:	Mathematics.
標題:	Dynamical Systems and Ergodic Theory.
標題:	Computational Mathematics and Numerical Analysis.
標題:	Mathematical Applications in the Physical Sciences.
ISBN:	9783319183473 (electronic bk.)
ISBN:	9783319183466 (paper)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-18347-3

Nonlinear data assimilation[electronic resource] /
Leeuwen, Peter Jan van.

Nonlinear data assimilation[electronic resource] /by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich. - Cham :Springer International Publishing :2015. - xii, 116 p. :ill., digital ;24 cm. - Frontiers in applied dynamical systems: reviews and tutorials,v.22364-4532 ;. - Frontiers in applied dynamical systems.Reviews and tutorials ;v.2..

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.

ISBN: 9783319183473 (electronic bk.)

Standard No.: 10.1007/978-3-319-18347-3doiSubjects--Topical Terms:

337876
Simulation methods.

LC Class. No.: QA401

Dewey Class. No.: 511.8

Nonlinear data assimilation[electronic resource] /
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