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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2005.
|
| Edición: | 1st ed. 2005. |
| Colección: | Applied Mathematical Sciences,
160 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Inverse Problems and Interpretation of Measurements
- Classical Regularization Methods
- Statistical Inversion Theory
- Nonstationary Inverse Problems
- Classical Methods Revisited
- Model Problems
- Case Studies.