. .
English
United States
Similar books
More/other books that might be very similar to this book
Search tools
Sign in
Share this book on...
..?
Book recommendations
Latest news
Tip from find-more-books.com
Advertising
Paid advertisement
FILTER
- 0 Results
Lowest price: 123.12 EUR, highest price: 173.43 EUR, average price: 153.61 EUR
Dynamic Data Assimilation - Lewis, John M.
book is out-of-stock
(*)
Lewis, John M.:

Dynamic Data Assimilation - new book

8, ISBN: 9780511889981

ID: 101159780511889981

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feas Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. Mathematical Analysis, Mathematics, Dynamic Data Assimilation~~ Lewis, John M.~~Mathematical Analysis~~Mathematics~~9780511889981, en, Dynamic Data Assimilation, Lewis, John M., 9780511889981, Cambridge University Press, 08/01/2006, , , , Cambridge University Press, 08/01/2006

New book Kobo
E-Book zum download Shipping costs: EUR 0.00
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Dynamic Data Assimilation - Cambridge University Press
book is out-of-stock
(*)

Cambridge University Press:

Dynamic Data Assimilation - new book

2006, ISBN: 9780511889981

ID: 18095963

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are. Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. eBooks, Science & Geography~~Earth Sciences~~Meteorology & Climatology, Dynamic Data Assimilation~~EBook~~9780511889981~~S. Lakshmivarahan, John M. Lewis, Sudarshan Dhall, , Dynamic Data Assimilation, S. Lakshmivarahan, 9780511889981, Cambridge University Press, 08/03/2006, , , , Cambridge University Press

New book Hive.co.uk
MPN: , SKU 18095963 Shipping costs:zzgl. Versandkosten, plus shipping costs
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Dynamic Data Assimilation - John M. Lewis#S. Lakshmivarahan#Sudarshan Dhall
book is out-of-stock
(*)
John M. Lewis#S. Lakshmivarahan#Sudarshan Dhall:
Dynamic Data Assimilation - new book

ISBN: 9780511889981

ID: 126016077

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system´s behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system´s behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feas eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Mathematik, Cambridge University Press

New book Thalia.ch
No. 37393377 Shipping costs:DE (EUR 12.78)
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Dynamic Data Assimilation - John M. Lewis#S. Lakshmivarahan#Sudarshan Dhall
book is out-of-stock
(*)
John M. Lewis#S. Lakshmivarahan#Sudarshan Dhall:
Dynamic Data Assimilation - new book

ISBN: 9780511889981

ID: 126016077

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system´s behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. Dynamic Data Assimilation eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Mathematik, Cambridge University Press

New book Thalia.ch
No. 37393377 Shipping costs:DE (EUR 12.45)
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Dynamic Data Assimilation - S. Lakshmivarahan
book is out-of-stock
(*)
S. Lakshmivarahan:
Dynamic Data Assimilation - new book

ISBN: 9780511889981

Dynamic data assimilation is the assessment, combination and synthesis of observational data, scientific laws and mathematical models to determine the state of a complex physical system, for instance as a preliminary step in making predictions about the system's behaviour. The topic has assumed increasing importance in fields such as numerical weather prediction where conscientious efforts are being made to extend the term of reliable weather forecasts beyond the few days that are presently feasible. This book is designed to be a basic one-stop reference for graduate students and researchers. It is based on graduate courses taught over a decade to mathematicians, scientists, and engineers, and its modular structure accommodates the various audience requirements. Thus Part I is a broad introduction to the history, development and philosophy of data assimilation, illustrated by examples; Part II considers the classical, static approaches, both linear and nonlinear; and Part III describes computational techniques. Parts IV to VII are concerned with how statistical and dynamic ideas can be incorporated into the classical framework. Key themes covered here include estimation theory, stochastic and dynamic models, and sequential filtering. The final part addresses the predictability of dynamical systems. Chapters end with a section that provides pointers to the literature, and a set of exercises with instructive hints. eBooks Science & Geography~~Earth Sciences~~Meteorology & Climatology Dynamic Data Assimilation~~EBook~~9780511889981~~S. Lakshmivarahan, John M. Lewis, Sudarshan Dhall Dynamic Data Assimilation

New book [GBR] Hive.co.uk
Shipping costs:plus shipping costs
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.

< to search results...
Details of the book
Dynamic Data Assimilation
Author:

John M. Lewis; S. Lakshmivarahan; Sudarshan Dhall

Title:

Dynamic Data Assimilation

ISBN:

9780511889981

Details of the book - Dynamic Data Assimilation


EAN (ISBN-13): 9780511889981
Publishing year: 2006
Publisher: Cambridge University Press

Book in our database since 19.02.2014 14:22:52
Book found last time on 29.10.2016 00:00:57
ISBN/EAN: 9780511889981

ISBN - alternate spelling:
978-0-511-88998-1

< to search results...
< to archive...
Nearby books