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Numerical Methods for Stochastic Partial Differential Equations with White Noise - 196 (1st ed. 2017 edition.)

Part of the Applied Mathematical Sciences series
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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.

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£31.99
Product Details
Springer
3319575112 / 9783319575117
eBook (Adobe Pdf, EPUB)
01/09/2017
English
391 pages
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