Nonlinear Data Assimilation is popular PDF and ePub book, written by Peter Jan Van Leeuwen in 2015-07-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Nonlinear Data Assimilation can be Read Online from any device for your convenience.
Nonlinear Data Assimilation Book PDF Summary
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.
Detail Book of Nonlinear Data Assimilation PDF
- Author : Peter Jan Van Leeuwen
- Release : 22 July 2015
- Publisher : Springer
- ISBN : 9783319183473
- Genre : Mathematics
- Total Page : 130 pages
- Language : English
- PDF File Size : 9,6 Mb
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