000			02632nam a22003738i 4500
001			CR9780511535949
003			UkCbUP
005			20200124160332.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090430s2006||||enk o ||1 0|eng|d
020			_a9780511535949 (ebook)
020			_z9780521854245 (hardback)
020			_z9781107406063 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aGC10.4.M36 _bW86 2006
082	0	4	_a551.4601519287 _222
100	1		_aWunsch, Carl, _eauthor.
245	1	0	_aDiscrete inverse and state estimation problems : _bwith geophysical fluid applications / _cCarl Wunsch.
246	3		_aDiscrete Inverse & State Estimation Problems
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xi, 371 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aFundamental 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.
520			_aThe 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.
650		0	_aOceanography _xMathematical models.
650		0	_aEstimation theory.
650		0	_aGeophysics _xFluid models.
776	0	8	_iPrint version: _z9780521854245
856	4	0	_uhttps://doi.org/10.1017/CBO9780511535949
999			_c522659 _d522657