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Forventes på lager: 31-07-2020
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.
| Forlag | Springer Nature Switzerland AG |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2020 ed. |
| Udgivelsesdato | 31-07-2020 |
| Første udgivelsesår | 2020 |
| Serie | Lecture Notes in Computational Science and Engineering |
| Illustrationer | 90 Illustrations, color; 23 Illustrations, black and white |
| Fagredaktør | Marta D'Elia, Max Gunzburger, Gianluigi Rozza |
| Originalsprog | Switzerland |
| Sideantal | 282 |
| Indbinding | Hardback |
| Forlag | Springer Nature Switzerland AG |
| Sideoplysninger | 282 pages, 90 Illustrations, color; 23 Illustrations, black and white |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783030487201 |