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Imperial Library
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Index
Cover
Frontmatter
1. Introduction
2. Measure and Probability Theory
3. Banach and Hilbert Spaces
4. Optimization Theory
5. Measures of Information and Uncertainty
6. Bayesian Inverse Problems
7. Filtering and Data Assimilation
8. Orthogonal Polynomials and Applications
9. Numerical Integration
10. Sensitivity Analysis and Model Reduction
11. Spectral Expansions
12. Stochastic Galerkin Methods
13. Non-Intrusive Methods
14. Distributional Uncertainty
Backmatter
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