Dynamic Data Assimilation: A Least Squares Approach (Encyclopedia of Mathematics and its Applications)

Dynamic Data Assimilation: A Least Squares Approach (Encyclopedia of Mathematics and its Applications)
Publisher: University | ISBN: 0521851556 | edition 200668 | File type: PDF | 680 pages | 3 mb
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 dataassimilation , 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 anddynamic 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 pres pointers to the literature, and a set of exercises with instructive hints.

Download Link:




[Fast Download] Dynamic Data Assimilation: A Least Squares Approach (Encyclopedia of Mathematics and its Applications)

Related eBooks:
Infinite Dimensional Dynamical Systems
The Theory of Linear Prediction
Introduction to the Finite Element Method in Electromagnetics
Topological Vector Spaces
Mathematical Modelling in Plant Biology
Universal Algebra
Exponential Fitting
Differential Geometrical Methods in Statistics
Lectures on Duflo Isomorphisms in Lie Algebra and Complex Geometry
Michigan Historical Reprint Series - A brief course in the calculus, by William Cain
Challenges in Computational Statistics and Data Mining
Stan Gibilisco, "Everyday Math Demystified"
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.