MARC Record from harvard_bibliographic_metadata

LEADER: 02170cam a2200325Ia 4500
001 013134391-2
005 20120510105002.0
008 111120s2012 enka b 001 0 eng d
016 7 $a015986466$2Uk
020 $a9781107016668
020 $a1107016665
035 0 $aocn761858433
040 $aBTCTA$beng$cBTCTA$dUKMGB$dYDXCP$dCDX$dNLE$dUAT$dBWX
050 4 $aTP156.F5$bM35 2012
082 04 $a660.2842450151$223
100 1 $aMajda, Andrew,$d1949-
245 10 $aFiltering complex turbulent systems /$cAndrew J. Majda, John Harlim.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2012.
300 $avii, 357 p. :$bill. ;$c26 cm.
504 $aIncludes bibliographical references (p. [350]-355) and index.
505 0 $a1. Introduction and overview: mathematical strategies for filtering turbulent systems -- 2. Filtering a stochastic complex scalar: the prototype test problem -- 3. The Kalman filter for vector systems: reduced filters and a three-dimensional toy model -- 4. Continuous and discrete Fourier series and numerical discretization -- 5. Stochastic models for turbulence -- 6. Filtering turbulent signals: plentiful observations -- 7. Filtering turbulent signals: regularly spaced sparse observations -- 8. Filtering linear stochastic PDE models with instability and model error -- 9. Strategies for filtering nonlinear systems -- 10. Filtering prototype nonlinear slow-fast systems -- 11. Filtering turbulent nonlinear dynamical systems by finite ensemble methods -- 12. Filtering turbulent nonlinear dynamical systems by linear stochastic models -- 13. Stochastic parametrized extended Kalman filter for filtering turbulent signals with model error -- 14. Filtering turbulent tracers from partial observations: an exactly solvable test model -- 15. The search for efficient skillful particle filters for high-dimensional turbulent dynamical systems.
650 0 $aFilters and filtration$xMathematics.
650 0 $aTurbulence.
650 0 $aNumerical analysis.
650 0 $aFilters (Mathematics)
650 0 $aDynamics$xMathematical models.
700 1 $aHarlim, John.
988 $a20120320
049 $aCLSL
906 $0OCLC