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Numerical Methods for Stochastic Partial Differential Equations with White Noise - Applied Mathematical Sciences Zhongqiang Zhang Softcover reprint of the original 1st ed. 2017 edition
Numerical Methods for Stochastic Partial Differential Equations with White Noise - Applied Mathematical Sciences
Zhongqiang 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.
394 pages, 25 Tables, color; 34 Illustrations, color; 2 Illustrations, black and white; XV, 394 p. 3
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 10, 2018 |
| ISBN13 | 9783319861814 |
| Publishers | Springer International Publishing AG |
| Pages | 394 |
| Dimensions | 156 × 232 × 27 mm · 616 g |
| Language | German |