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Verification, Validation, and Uncertainty Quantification in Scientific Computing. 2nd Revised edition
・ISBN 978-1-316-51613-3 hard GB£ 110.00
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| 著者・編者 | Oberkampf, William L. / Roy, Christopher J., |
|---|---|
| 出版社 | (Cambridge University Press, UK) |
| 出版年月 | 2025 |
| ページ数 | 729 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-46192＞ |
解説
Can you trust results from modeling and simulation? This text provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty quantification and stochastic simulation. Methods for combining numerical approximation errors, uncertainty in model input parameters, and model form uncertainty are presented in order to estimate the uncertain response of a system in the presence of stochastic inputs and lack of knowledge uncertainty. This new edition has been extensively updated, including a fresh look at model accuracy assessment and the responsibilities of management for modeling and simulation activities. Extra homework problems and worked examples have been added to each chapter, suitable for course use or self-study.