Data assimilation for the geosciences : from theory to application / Steven J. Fletcher.
Material type:
TextPublisher: Amsterdam, Netherlands : Elsevier, 2017Description: 1 online resource (xviii, 957 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780128044841; 0128044845Subject(s): Coding theory | Earth sciences -- Data processing | COMPUTERS -- Data Processing | SCIENCE -- System Theory | TECHNOLOGY & ENGINEERING -- Operations Research | Coding theory | Earth sciences -- Data processingGenre/Form: Electronic books. | Electronic book.Additional physical formats: Print version:: Data assimilation for the geosciences.DDC classification: 003/.54 LOC classification: QA268Online resources: ScienceDirect | Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Ebooks
|
Mysore University Main Library | Not for loan | EBKELV779 |
Includes bibliographical references and index.
Online resource; title from PDF title page (ScienceDirect, viewed March 22, 2017).
Chapter 1. Introduction -- Chapter 2. Overview of Linear Algebra -- Chapter 3. Univariate Distribution Theory -- Chapter 4. Multivariate Distribution Theory -- Chapter 5. Introduction to Calculus of Variation -- Chapter 6. Introduction to Control Theory -- Chapter 7. Optimal Control Theory -- Chapter 8. Numerical Solutions to Initial Value Problems -- Chapter 9. Numerical Solutions to Boundary Problems -- Chapter 10. Introduction to Semi-Langrangian Advection Methods -- Chapter 11. Introduction to Finite Element Modeling -- Chapter 12. Numerical Modeling of the Sphere -- Chapter 13. Tangent Linear Modeling and Adjoints -- Chapter 14. Observations -- Chapter 15. Non-variational Sequential Data Assimilation Methods -- Chapter 16. Variational Data Assimilation -- Chapter 17. Subcomponents of Variational Data Assimilation -- Chapter 18. Observation pf Space VAR DA Methods -- Chapter 19. Kalman Filter and Smoother -- Chapter 20. Ensemble-Based Data Asssimilation -- Chapter 21. Non-Gaussian Variational Data Assimilation -- Chapter 22. Markov Chain Monte Carlo Methods -- Chapter 23. Application of Data Asssimilation in the Geosciences -- Chapter 24. Solutions to Select Exercise -- Bibliography -- Index.
There are no comments on this title.