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Numerical Methods for Stochastic Partial Differential Equations with White Noise 1st ed. 2017 edition
Zhang
Numerical Methods for Stochastic Partial Differential Equations with White Noise 1st ed. 2017 edition
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
Media | Books Book |
Released | September 12, 2017 |
ISBN13 | 9783319575100 |
Publishers | Springer International Publishing AG |
Pages | 394 |
Dimensions | 243 × 164 × 29 mm · 781 g |
Language | German |
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