| 000 | 02371 a2200277 4500 | ||
|---|---|---|---|
| 003 | NISER | ||
| 005 | 20260107105935.0 | ||
| 008 | 260107b |||||||| |||| 00| 0 hin d | ||
| 020 |
_a9781009414296 _qPaperback |
||
| 040 |
_aNISER LIBRARY _beng _cNISER LIBRARY |
||
| 082 | 0 | 4 |
_a517.972.7 _bSAN-I |
| 100 | 1 | _aSanz-Alonso, Daniel | |
| 245 | 1 | 0 | _aInverse problems and data assimilation |
| 260 |
_aNew York, NY, USA : _bCambridge University Press, _c2023. |
||
| 300 |
_axvi, 210 pages ; _c24 cm. |
||
| 490 |
_aLondon Mathematical Society student texts ; _v107 |
||
| 504 | _aIncludes bibliographical references (pages 192-204) and index. | ||
| 520 | _aThis concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study. Provides a gentle introduction to inverse problems and data assimilation emphasizing the unity between both subjects and the potential for an exchange of ideas between them. Includes numerous pointers to the wider literature Features examples and exercises for classroom teaching and self-guided learning. | ||
| 650 | 0 |
_aInverse problems (Differential equations) _vTextbooks |
|
| 650 | 0 |
_aMathematical models _vTextbooks |
|
| 700 | 1 | _aStuart, Andrew | |
| 700 | 1 | _aTaeb, Armeen | |
| 856 | 4 | 1 |
_3Table of contents _uhttp://assets.cambridge.org/97810094/14326/toc/9781009414326_toc.pdf |
| 856 | 4 | 1 |
_3Reviews _uhttps://www.goodreads.com/book/show/171747708-inverse-problems-and-data-assimilation?ref=nav_sb_ss_1_13#CommunityReviews |
| 942 |
_cBK _2udc |
||
| 999 |
_c36688 _d36688 |
||