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OverviewFull Product DetailsAuthor: Zhongqiang Zhang , George Em KarniadakisPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2017 Volume: 196 Weight: 7.391kg ISBN: 9783319575100ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsZhang 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |