Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

-15% su kodu: ENG15
56,08 
Įprasta kaina: 65,98 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
56,08 
Įprasta kaina: 65,98 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 65.9800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Peter Jan Van Leeuwen, Sebastian Reich, Yuan Cheng,
Serija: Frontiers in Applied Dynamical Systems: Reviews and Tutorials
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2015
Knygos puslapių skaičius: 132
ISBN-10: 331918346X
ISBN-13: 9783319183466
Formatas: 235 x 155 x 8 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Nonlinear Data Assimilation“

Būtina įvertinti prekę