An edition of Filtering complex turbulent systems
(2012)
Filtering complex turbulent systems
by Andrew Majda
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Filtering complex turbulent systems
2012, Cambridge University Press
in English
1107016665 9781107016668
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Book Details
Table of Contents
1. 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.
Edition Notes
Includes bibliographical references (p. [350]-355) and index.
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History
- Created July 4, 2012
- 5 revisions
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| December 12, 2022 | Edited by MARC Bot | import existing book |
| September 22, 2020 | Edited by MARC Bot | import existing book |
| August 3, 2020 | Edited by ImportBot | import existing book |
| June 30, 2019 | Edited by MARC Bot | import existing book |
| July 4, 2012 | Created by LC Bot | Imported from Library of Congress MARC record |