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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 5 de diciembre de 2018 |
| ISBN13 | 9783319995243 |
| Editores | Springer International Publishing AG |
| Páginas | 345 |
| Dimensiones | 243 × 164 × 24 mm · 688 g |
| Lengua | Alemán |
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