Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Book chapter
Title: Averaging, homogenization and slow manifolds for stochastic partial differential equations
Author: Duan, J.
Roberts, A.
Wang, W.
Citation: New Trends in Stochastic Analysis and Related Topics, 2011, 2011, Ch.3, pp.89-125
Publisher: World Scientific
Issue Date: 2011
Series/Report no.: Interdisciplinary Mathematical Sciences; 12
ISBN: 9789814360913
Department: Faculty of Engineering, Computer & Mathematical Sciences
Statement of
Jinqiao Duan, Anthony Roberts, and Wei Wang
Abstract: Macroscopic reduction methods, such as averaging, homogenization and slow manifold approximation, have been proposed for stochastic partial differential equations (SPDEs) with separated time and/or spatial scales in recent years. Here we overview some very recent results of applying these methods to derive effective reduced models for stochastic partial differential equations.
Rights: Copyright status unknown
DOI: 10.1142/9789814360920_0003
Appears in Collections:Aurora harvest
Mathematical Sciences publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.