Numerical Methods for Stochastic Partial Differential Equations with White Noise

Author:   Zhongqiang Zhang ,  George Em Karniadakis
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   196
ISBN:  

9783319575100


Pages:   394
Publication Date:   12 September 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Numerical Methods for Stochastic Partial Differential Equations with White Noise


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Author:   Zhongqiang Zhang ,  George Em Karniadakis
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   196
Weight:   7.391kg
ISBN:  

9783319575100


ISBN 10:   3319575104
Pages:   394
Publication Date:   12 September 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Zhang and Karniadakis' book may be used as a textbook, but it may also be considered as a reference for the state of the art concerning the numerical solution of stochastic differential equations involving white noise/Wiener processes/ Brownian motion. ... Bibliographic notes address the state of the art in the field. Appendices give the necessary background in probability, stochastic calculus, semi-analytical approximation methods for stochastics differential equation, Gauss quadrature ... . (Jose Eduardo Souze de Cursi, Mathematical Reviews, September, 2018) It is an interesting book on numerical methods for stochastic partial differential equations with white noise through the framework of Wong-Zakai approximation. ... . It is to be noted that the authors provide a thorough review of topics both theoretical and computational exercises to justify the effectiveness of the developed methods. Further, the MATLAB files are made available to the researchers and readers to understand the state of art of numerical methods for stochastic partial differential equations. (Prabhat Kumar Mahanti, zbMATH 1380.65021, 2018)


It is an interesting book on numerical methods for stochastic partial differential equations with white noise through the framework of Wong-Zakai approximation. ... . It is to be noted that the authors provide a thorough review of topics both theoretical and computational exercises to justify the effectiveness of the developed methods. Further, the MATLAB files are made available to the researchers and readers to understand the state of art of numerical methods for stochastic partial differential equations. (Prabhat Kumar Mahanti, zbMATH 1380.65021, 2018)


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