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Dynamic data assimilation [[electronic resource] /] : a least squares approach / / John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall
| Dynamic data assimilation [[electronic resource] /] : a least squares approach / / John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall |
| Autore | Lewis J. M |
| Pubbl/distr/stampa | Cambridge, : Cambridge University Press, 2006 |
| Descrizione fisica | 1 online resource (xxii, 654p. ) : ill., map |
| Disciplina | 511.8 |
| Altri autori (Persone) |
LakshmivarahanS
DhallSudarshan Kumar <1937-> |
| Collana | Encyclopedia of mathematics and its applications |
| Soggetto topico |
Simulation methods
Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-511-88998-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Synopsis; 2. Pathways into data assimilation: illustrative examples; 3. Applications; 4. Brief history of data assimilation; 5. Linear least squares estimation: method of normal equations; 6. A geometric view: projection and invariance; 7. Nonlinear least squares estimation; 8. Recursive least squares estimation; 9. Matrix methods; 10. Optimisation: steepest descent method; 11. Conjugate direction/gradient methods; 12. Newton and quasi-Newton methods; 13. Principles of statistical estimation; 14. Statistical least squares estimation; 15. Maximum likelihood method; 16. Bayesian estimation method; 17. From Gauss to Kalman: sequential, linear minimum variance estimation; 18. Data assimilation-static models: concepts and formulation; 19. Classical algorithms for data assimilation; 20. 3DVAR - a Bayesian formulation; 21. Spatial digital filters; 22. Dynamical data assimilation: the straight line problem; 23. First-order adjoint method: linear dynamics; 24. First-order adjoint method: nonlinear dynamics; 25. Second-order adjoint method; 26. The ADVAR problem: a statistical and a recursive view; 27. Linear filtering - Part I: Kalman filter; 28. Linear filtering-part II; 29. Nonlinear filtering; 30. Reduced rank filters; 31. Predictability: a stochastic view; 32. Predictability: a deterministic view; Bibliography; Index. |
| Altri titoli varianti | Dynamic data assimilation |
| Record Nr. | UNINA-9910557774803321 |
Lewis J. M
|
||
| Cambridge, : Cambridge University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dynamic data assimilation [[electronic resource] /] : a least squares approach / / John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall
| Dynamic data assimilation [[electronic resource] /] : a least squares approach / / John M. Lewis, S. Lakshmivarahan, Sudarshan Dhall |
| Autore | Lewis J. M |
| Pubbl/distr/stampa | Cambridge, : Cambridge University Press, 2006 |
| Descrizione fisica | 1 online resource (xxii, 654p. ) : ill., map |
| Disciplina | 511.8 |
| Altri autori (Persone) |
LakshmivarahanS
DhallSudarshan Kumar <1937-> |
| Collana | Encyclopedia of mathematics and its applications |
| Soggetto topico |
Simulation methods
Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-511-88998-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Synopsis; 2. Pathways into data assimilation: illustrative examples; 3. Applications; 4. Brief history of data assimilation; 5. Linear least squares estimation: method of normal equations; 6. A geometric view: projection and invariance; 7. Nonlinear least squares estimation; 8. Recursive least squares estimation; 9. Matrix methods; 10. Optimisation: steepest descent method; 11. Conjugate direction/gradient methods; 12. Newton and quasi-Newton methods; 13. Principles of statistical estimation; 14. Statistical least squares estimation; 15. Maximum likelihood method; 16. Bayesian estimation method; 17. From Gauss to Kalman: sequential, linear minimum variance estimation; 18. Data assimilation-static models: concepts and formulation; 19. Classical algorithms for data assimilation; 20. 3DVAR - a Bayesian formulation; 21. Spatial digital filters; 22. Dynamical data assimilation: the straight line problem; 23. First-order adjoint method: linear dynamics; 24. First-order adjoint method: nonlinear dynamics; 25. Second-order adjoint method; 26. The ADVAR problem: a statistical and a recursive view; 27. Linear filtering - Part I: Kalman filter; 28. Linear filtering-part II; 29. Nonlinear filtering; 30. Reduced rank filters; 31. Predictability: a stochastic view; 32. Predictability: a deterministic view; Bibliography; Index. |
| Altri titoli varianti | Dynamic data assimilation |
| Record Nr. | UNINA-9910741394303321 |
|
Lewis J. M
|
||
| Cambridge, : Cambridge University Press, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Dynamic Data Assimilation : Beating the Uncertainties / / edited by Dinesh G. Harkut
| Dynamic Data Assimilation : Beating the Uncertainties / / edited by Dinesh G. Harkut |
| Pubbl/distr/stampa | IntechOpen, 2020 |
| Descrizione fisica | 1 online resource (118 pages) : illustrations |
| Disciplina | 511.8 |
| Soggetto topico |
Mathematical models
Simulation methods |
| Soggetto non controllato | Applied mathematics |
| ISBN | 1-83968-084-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Dynamic data assimilation |
| Record Nr. | UNINA-9910424647303321 |
| IntechOpen, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||