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Numerical Methods for Stochastic Partial Differential Equations with White Noise
Hoofdkenmerken
Auteur: Zhang, Zhongqiang;
Titel: Numerical Methods for Stochastic Partial Differential Equations with White Noise
Uitgever: Springer International
ISBN: 9783319575100
ISBN boekversie: 9783319575117
Serie: Applied Mathematical Sciences
Editie: 1st ed. 2017
Land van oorsprong: Switzerland
Prijs: € 131.01
Verschijningsdatum: 25-07-2017
Bericht: Langere levertijd (2-3 weken)
Inhoudelijke kenmerken
Leesniveau: Professional & Vocational
Categorie: Probability & statistics
Geillustreerd: 25 Tables, color; 34 Illustrations, color; 2 Illustrations, black and white; XV, 394 p. 36 illus., 34 illus. in color. With online files/update.
Technische kenmerken
Verschijningsvorm: Hardback
Paginas: 394
Hoogte mm.: 164
Breedte mm.: 243
Dikte mm.: 29
Gewicht gr.: 784
 

Inhoud:

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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