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£44.73
Society for Industrial and Applied Mathematics (SIAM) SIAM Uncertainty Quantification: Theory and Applications Book
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Description
Key Features
This SIAM publication provides the necessary theory and algorithms to quantify input and response uncertainties for simulation models.
Learn essential probability and statistics concepts including parameter selection techniques and model calibration.
The content covers both frequentist and Bayesian model calibration methods for mathematical modeling.
Gain expertise in the propagation of uncertainties and the quantification of model discrepancy.
Study sensitivity analysis and explore various applications within the field of computational science and engineering.
Product Specifications
- Format
- hardcover
- ASIN
- 161197321X
- Domain
- Amazon UK
- Release Date
- 06 March 2014
- Listed Since
- 11 January 2014
Barcode
No barcode data available
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