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Item Details
| Title:
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NONLINEAR DATA ASSIMILATION
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| By: |
Peter Jan Van Leeuwen, Sebastian Reich, Yuan Cheng |
| Format: |
Paperback |
| List price:
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£35.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
331918346X |
| ISBN 13: |
9783319183466 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
25 July, 2015 |
| Edition: |
1st ed. 2015 |
| Series: |
Frontiers in Applied Dynamical Systems: Reviews and Tutorials 2 |
| Pages: |
118 |
| Synopsis: |
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. |
| Illustrations: |
15 Illustrations, color; 4 Illustrations, black and white; XII, 118 p. 19 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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