It takes the average reader 2 hours and 1 minute to read Nonlinear Data Assimilation by Peter Jan Van Leeuwen
Assuming a reading speed of 250 words per minute. Learn more
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.
Nonlinear Data Assimilation by Peter Jan Van Leeuwen is 118 pages long, and a total of 30,444 words.
This makes it 40% the length of the average book. It also has 37% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 46 minutes to read Nonlinear Data Assimilation aloud.
Nonlinear Data Assimilation is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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