Statistical and Computational Inverse Problems
The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework is the Bayesian paradigm, where all variables are modeled as random variables, the randomness reflecting the degree of belief of their values, and the solution of the inverse p...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2005. |
| Collection: | Applied Mathematical Sciences
160 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical and computational inverse problems, Jari Kaipio, Erkki Somersalo, 2005, New York, Springer, 1 vol. (XVI-339 p.), Applied mathematical sciences, 0-387-22073-9 • Chemical structures, the international language of chemistry, Wendy A. Warr,..., Berlin, Springer-Verlag, 1988, 1 vol. (XII-472 p.), 0-387-50143-6 • Statistical and Computational Inverse Problems, Texte imprimé, 9781441919649 • Statistical and computational inverse problems, Jari Kaipio, Erkki Somersalo, 2005, New York, Springer, 1 vol. (XVI-339 p.), Applied mathematical sciences, 0-387-22073-9 |
Table des matières:
- Inverse Problems and Interpretation of Measurements Classical Regularization Methods Statistical Inversion Theory Nonstationary Inverse Problems Classical Methods Revisited Model Problems Case Studies