My Account Log in

2 options

Discrete inverse and state estimation problems : with geophysical fluid applications / Carl Wunsch.

EBSCOhost Academic eBook Collection (North America) Available online

View online

Ebook Central Academic Complete Available online

View online
Format:
Book
Author/Creator:
Wunsch, Carl, author.
Language:
English
Subjects (All):
Oceanography--Mathematical models.
Oceanography.
Estimation theory.
Geophysics--Fluid models.
Geophysics.
Physical Description:
1 online resource (xi, 371 pages) : digital, PDF file(s).
Edition:
1st ed.
Other Title:
Discrete Inverse & State Estimation Problems
Place of Publication:
Cambridge : Cambridge University Press, 2006.
Language Note:
English
Summary:
The problems of making inferences about the natural world from noisy observations and imperfect theories occur in almost all scientific disciplines. This 2006 book addresses these problems using examples taken from geophysical fluid dynamics. It focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools including the singular value decomposition, Gauss-Markov and minimum variance estimates, Kalman filters and related smoothers, and adjoint (Lagrange multiplier) methods. The final chapters discuss a variety of practical applications to geophysical flow problems. Discrete Inverse and State Estimation Problems is an ideal introduction to the topic for graduate students and researchers in oceanography, meteorology, climate dynamics, and geophysical fluid dynamics. It is also accessible to a wider scientific audience; the only prerequisite is an understanding of linear algebra.
Contents:
Fundamental machinery
Basic machinery
Extensions of methods
The time-dependent inverse problem : state estimation
Time-dependent methods 2
Applications to steady problems
Applications to time-dependent fluid problems.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references and index.
ISBN:
1-107-16577-6
1-280-48007-6
0-511-22063-4
0-511-22124-X
0-511-21927-X
0-511-53594-5
0-511-31695-X
0-511-21995-4
OCLC:
560227629
Publisher Number:
9780521854245

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account