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Numerical Methods for Stochastic Partial Differential Equations with White Noise Zhang 1st ed. 2017 edition
Numerical Methods for Stochastic Partial Differential Equations with White Noise
Zhang
This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. In addition, stochastic Euler equations are exploited as an application of stochastic collocation methods, where a numerical comparison with other integration methods in random space is made.
396 pages, 25 Tables, color; 34 Illustrations, color; 2 Illustrations, black and white; XV, 396 p. 3
| Médias | Livres Book |
| Validé | 12 septembre 2017 |
| ISBN13 | 9783319575100 |
| Éditeurs | Springer International Publishing AG |
| Pages | 394 |
| Dimensions | 243 × 164 × 29 mm · 730 g |
| Langue et grammaire | Allemand |
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