0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (1)
  • -
Status
Brand

Showing 1 - 1 of 1 matches in All Departments

Data Assimilation Fundamentals - A Unified Formulation of the State and Parameter Estimation Problem (1st ed. 2022): Geir... Data Assimilation Fundamentals - A Unified Formulation of the State and Parameter Estimation Problem (1st ed. 2022)
Geir Evensen, Femke C. Vossepoel, Peter Jan Van Leeuwen
R1,341 Discovery Miles 13 410 Ships in 10 - 15 working days

This open-access textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods. This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method. E.g., the derivation of the Kalman Filter from control theory and the derivation of the ensemble Kalman Filter as a low-rank approximation of the standard Kalman Filter. The bottom-up approach derives the assimilation methods from different mathematical principles, making it difficult to compare them. Thus, it is unclear which assumptions are made to derive an assimilation method and sometimes even which problem it aspires to solve. The book's top-down approach allows categorizing data-assimilation methods based on the approximations used. This approach enables the user to choose the most suitable method for a particular problem or application. Have you ever wondered about the difference between the ensemble 4DVar and the "ensemble randomized likelihood" (EnRML) methods? Do you know the differences between the ensemble smoother and the ensemble-Kalman smoother? Would you like to understand how a particle flow is related to a particle filter? In this book, we will provide clear answers to several such questions. The book provides the basis for an advanced course in data assimilation. It focuses on the unified derivation of the methods and illustrates their properties on multiple examples. It is suitable for graduate students, post-docs, scientists, and practitioners working in data assimilation.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Angelcare Nappy Bin Refills
R165 R145 Discovery Miles 1 450
Huntlea Koletto - Matlow Pet Bed…
R969 R562 Discovery Miles 5 620
Mellerware Swiss - Plastic Floor Fan…
 (1)
R348 Discovery Miles 3 480
Nintendo Joy-Con Neon Controller Pair…
 (1)
R1,899 R1,729 Discovery Miles 17 290
Endless Love
Alex Pettyfer, Gabriella Wilde, … Blu-ray disc  (1)
R51 Discovery Miles 510
Bostik Glue Stick (40g)
R52 Discovery Miles 520
Higher
Michael Buble CD  (1)
R459 Discovery Miles 4 590
PU Auto Pop-Up Card Holder
R199 R159 Discovery Miles 1 590
Vital Baby® NOURISH™ Power™ Suction Bowl…
R159 Discovery Miles 1 590
Butterfly A4 160gsm Board Pad - Syco…
R80 Discovery Miles 800

 

Partners