LEADER 03481nam 22006852 450 001 9910457572303321 005 20160421113223.0 010 $a1-107-16577-6 010 $a1-280-48007-6 010 $a0-511-22063-4 010 $a0-511-22124-X 010 $a0-511-21927-X 010 $a0-511-53594-5 010 $a0-511-31695-X 010 $a0-511-21995-4 024 3 $z9780521854245 035 $a(CKB)1000000000352401 035 $a(EBL)261130 035 $a(OCoLC)560227629 035 $a(SSID)ssj0000139824 035 $a(PQKBManifestationID)11144879 035 $a(PQKBTitleCode)TC0000139824 035 $a(PQKBWorkID)10029384 035 $a(PQKB)11275982 035 $a(UkCbUP)CR9780511535949 035 $a(MiAaPQ)EBC261130 035 $a(Au-PeEL)EBL261130 035 $a(CaPaEBR)ebr10130439 035 $a(CaONFJC)MIL48007 035 $a(EXLCZ)991000000000352401 100 $a20090430d2006|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscrete inverse and state estimation problems $ewith geophysical fluid applications /$fCarl Wunsch$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2006. 215 $a1 online resource (xi, 371 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-40606-4 311 $a0-521-85424-5 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 517 3 $aDiscrete Inverse & State Estimation Problems 606 $aOceanography$xMathematical models 606 $aEstimation theory 606 $aGeophysics$xFluid models 615 0$aOceanography$xMathematical models. 615 0$aEstimation theory. 615 0$aGeophysics$xFluid models. 676 $a551.4601519287 700 $aWunsch$b Carl$0633621 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910457572303321 996 $aDiscrete inverse and state estimation problems$91211833 997 $aUNINA