National Science Library of Georgia

Dynamic data assimilation : (Record no. 518303)

MARC details
000 -LEADER
fixed length control field 03590nam a22003858i 4500
001 - CONTROL NUMBER
control field CR9780511526480
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200124160238.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090407s2006||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780511526480 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780521851558 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA401
Item number .L475 2006
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.8
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lewis, J. M.,
Relator term author.
245 10 - TITLE STATEMENT
Title Dynamic data assimilation :
Remainder of title a least squares approach /
Statement of responsibility, etc John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall.
264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R)
Place of production, publication, distribution, manufacture (R) Cambridge :
Name of producer, publisher, distributor, manufacturer (R) Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2006.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxii, 654 pages) :
Other physical details digital, PDF file(s).
336 ## - Content Type (R)
Content type term (R) text
Content type code (R) txt
Source (NR) rdacontent
337 ## - Media Type (R)
Media type term (R) computer
Media type code (R) c
Source (NR) rdamedia
338 ## - Carrier Type (R)
Carrier type term (R) online resource
Carrier type code (R) cr
Source (NR) rdacarrier
490 1# - SERIES STATEMENT
სერიის ცნობა Encyclopedia of mathematics and its applications ;
Volume number/sequential designation volume 104
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 00 - FORMATTED CONTENTS NOTE
Miscellaneous information 1.
Title Synopsis --
Miscellaneous information 2.
Title Pathways into data assimilation : illustrative examples --
Miscellaneous information 3.
Title Applications --
Miscellaneous information 4.
Title Brief history of data assimilation --
Miscellaneous information 5.
Title Linear least squares estimation : method of normal equations --
Miscellaneous information 6.
Title A geometric view : projection and invariance --
Miscellaneous information 7.
Title Nonlinear least squares estimation --
Miscellaneous information 8.
Title Recursive least squares estimation --
Miscellaneous information 9.
Title Matrix methods --
Miscellaneous information 10.
Title Optimization : steepest descent method --
Miscellaneous information 11.
Title Conjugate direction/gradient methods --
Miscellaneous information 12.
Title Newton and quasi-Newton methods --
Miscellaneous information 13.
Title Principles of statistical estimation --
Miscellaneous information 14.
Title Statistical least squares estimation --
Miscellaneous information 15.
Title Maximum likelihood method --
Miscellaneous information 16.
Title Bayesian estimation method --
Miscellaneous information 17.
Title From Gauss to Kalman : sequential, linear minimum variance estimation.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Simulation methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical models.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lakshmivarahan, S.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dhall, Sudarshan Kumar,
Dates associated with a name 1937-
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9780521851558
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Encyclopedia of mathematics and its applications ;
Volume number/sequential designation v. 104.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/CBO9780511526480">https://doi.org/10.1017/CBO9780511526480</a>

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