大葉大學圖書館 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	551.4601519287
書名/作者:	Discrete inverse and state estimation problems : : with geophysical fluid applications // Carl Wunsch.
其他題名:	Discrete Inverse & State Estimation Problems
作者:	Wunsch, Carl,
面頁冊數:	1 online resource (xi, 371 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Oceanography - Mathematical models.
標題:	Estimation theory.
標題:	Geophysics - Fluid models.
ISBN:	9780511535949 (ebook)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1017/CBO9780511535949

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

Discrete inverse and state estimation problems :with geophysical fluid applications /Discrete Inverse & State Estimation ProblemsCarl Wunsch. - 1 online resource (xi, 371 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

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.

ISBN: 9780511535949 (ebook)Subjects--Topical Terms:

469879
Oceanography
--Mathematical models.

LC Class. No.: GC10.4.M36 / W86 2006

Dewey Class. No.: 551.4601519287

Discrete inverse and state estimation problems :with geophysical fluid applications /
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520 $a 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.
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