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Filtering Complex Turbulent Systems
Buch von Andrew J. Majda (u. a.)
Sprache: Englisch

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Beschreibung
The authors develop a systematic applied mathematics perspective on the problems associated with filtering complex turbulent systems.
The authors develop a systematic applied mathematics perspective on the problems associated with filtering complex turbulent systems.
Über den Autor
Andrew J. Majda is the Morse Professor of Arts and Sciences at the Courant Institute of New York University.
Inhaltsverzeichnis
Preface; 1. Introduction and overview: mathematical strategies for filtering turbulent systems; Part I. Fundamentals: 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; Part II. Mathematical Guidelines for Filtering Turbulent Signals: 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; Part III. Filtering Turbulent Nonlinear Dynamical Systems: 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 parameterized extended Kalman filter for filtering turbulent signal with model error; 14. Filtering turbulent tracers from partial observations: an exactly solvable test model; 15. The search for efficient skilful particle filters for high dimensional turbulent dynamical systems; References; Index.
Details
Erscheinungsjahr: 2012
Fachbereich: Allgemeines
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
ISBN-13: 9781107016668
ISBN-10: 1107016665
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Majda, Andrew J.
Harlim, John
Hersteller: Cambridge University Press
Maße: 250 x 175 x 24 mm
Von/Mit: Andrew J. Majda (u. a.)
Erscheinungsdatum: 23.02.2012
Gewicht: 0,816 kg
Artikel-ID: 106697605
Über den Autor
Andrew J. Majda is the Morse Professor of Arts and Sciences at the Courant Institute of New York University.
Inhaltsverzeichnis
Preface; 1. Introduction and overview: mathematical strategies for filtering turbulent systems; Part I. Fundamentals: 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; Part II. Mathematical Guidelines for Filtering Turbulent Signals: 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; Part III. Filtering Turbulent Nonlinear Dynamical Systems: 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 parameterized extended Kalman filter for filtering turbulent signal with model error; 14. Filtering turbulent tracers from partial observations: an exactly solvable test model; 15. The search for efficient skilful particle filters for high dimensional turbulent dynamical systems; References; Index.
Details
Erscheinungsjahr: 2012
Fachbereich: Allgemeines
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
ISBN-13: 9781107016668
ISBN-10: 1107016665
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Majda, Andrew J.
Harlim, John
Hersteller: Cambridge University Press
Maße: 250 x 175 x 24 mm
Von/Mit: Andrew J. Majda (u. a.)
Erscheinungsdatum: 23.02.2012
Gewicht: 0,816 kg
Artikel-ID: 106697605
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