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Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers Ryan G. McClarren 2018 edition
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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2018年12月5日 |
| ISBN13 | 9783319995243 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 345 |
| 寸法 | 243 × 164 × 24 mm · 688 g |
| 言語 | ドイツ語 |
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