Uncertainty Quantification: Theory, Implementation, and Applications by Smith, Ralph

Uncertainty Quantification: Theory, Implementation, and Applications

The need to quantify and characterise uncertainties arising in mathematical models with unknown parameters leads to the...
BD$189.97 BMD
BD$189.97 BMD
SKU: 9781611973211
Product Type: Books
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Author: Ralph Smith
Format: Hardcover
Language: English
Subtotal: BD$189.97
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Uncertainty Quantification: Theory, Implementation, and Applications by Smith, Ralph

Uncertainty Quantification: Theory, Implementation, and Applications

BD$189.97

Uncertainty Quantification: Theory, Implementation, and Applications

BD$189.97
Author: Ralph Smith
Format: Hardcover
Language: English
The need to quantify and characterise uncertainties arising in mathematical models with unknown parameters leads to the rapidly evolving field of uncertainty quantification. This book provides readers with the concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models. It covers concepts from probability and statistics such as parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, and sensitivity analysis. The book goes on to explore applications and open problems from a wide array of disciplines, particularly those such as climate science, hydrology, and nuclear power where uncertainty quantification is crucial for both scientific understanding and public policy. An accompanying web page provides data used in the exercises and other supplementary material. The text is intended as a coursebook for advanced undergraduates and above, and as a resource for researchers in mathematics, statistics, operations research, science, and engineering.

Author: Ralph Smith
Publisher: Society for Industrial and Applied Mathematic
Published: 03/06/2014
Pages: 400
Binding Type: Hardcover
ISBN: 9781611973211

About the Author
Smith, Ralph: - Ralph Smith is a Professor of Mathematics and Associate Director of the Center for Research in Scientific Computation at North Carolina State University.

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