Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6892084 | Computers & Mathematics with Applications | 2018 | 15 Pages |
Abstract
In this paper, a discontinuous Galerkin method for the stochastic Cahn-Hilliard equation with additive random noise, which preserves the conservation of mass, is investigated. Numerical analysis and error estimates are carried out for the linearized stochastic Cahn-Hilliard equation. The effects of the noises on the accuracy of our scheme are also presented. Numerical examples simulated by Monte Carlo method for both linear and nonlinear stochastic Cahn-Hilliard equations are presented to illustrate the convergence rate and validate our conclusion.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Chen Li, Ruibin Qin, Ju Ming, Zhongming Wang,