Fast Numerical Methods for Stochastic Computations: A Review

Fast Numerical Methods for Stochastic Computations: A Review

Year:    2009

Communications in Computational Physics, Vol. 5 (2009), Iss. 2-4 : pp. 242–272

Abstract

This paper presents a review of the current state-of-the-art of numerical methods for stochastic computations. The focus is on efficient high-order methods suitable for practical applications, with a particular emphasis on those based on generalized polynomial chaos (gPC) methodology. The framework of gPC is reviewed, along with its Galerkin and collocation approaches for solving stochastic equations. Properties of these methods are summarized by using results from literature. This paper also attempts to present the gPC based methods in a unified framework based on an extension of the classical spectral methods into multi-dimensional random spaces.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2009-CiCP-7732

Communications in Computational Physics, Vol. 5 (2009), Iss. 2-4 : pp. 242–272

Published online:    2009-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    31

Keywords: