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Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers Ryan G. McClarren 2018 edition
Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers
Ryan G. McClarren
This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties.
345 pages, 99 Illustrations, color; 42 Illustrations, black and white; XVII, 345 p. 141 illus., 99 i
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 5, 2018 |
| ISBN13 | 9783319995243 |
| Publishers | Springer International Publishing AG |
| Pages | 345 |
| Dimensions | 243 × 164 × 24 mm · 688 g |
| Language | German |
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