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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions - Lecture Notes in Computational Science and Engineering 2020 edition
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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions - Lecture Notes in Computational Science and Engineering
This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs.
282 pages, 90 Illustrations, color; 23 Illustrations, black and white; XI, 282 p. 113 illus., 90 ill
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 1. augusts |
| ISBN13 | 9783030487232 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 282 |
| Izmēri | 150 × 220 × 10 mm · 417 g |
| Valoda | Vācu |
| Redaktors | D'Elia, Marta |
| Redaktors | Gunzburger, Max |
| Redaktors | Rozza, Gianluigi |
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