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Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs 被引量:1
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作者 W. W. Mohammed M. a. Sohaly +1 位作者 a. H. El-Bassiouny k. a. elnagar 《American Journal of Computational Mathematics》 2014年第4期280-288,共9页
Stochastic partial differential equations (SPDEs) describe the dynamics of stochastic processes depending on space-time continuum. These equations have been widely used to model many applications in engineering and ma... Stochastic partial differential equations (SPDEs) describe the dynamics of stochastic processes depending on space-time continuum. These equations have been widely used to model many applications in engineering and mathematical sciences. In this paper we use three finite difference schemes in order to approximate the solution of stochastic parabolic partial differential equations. The conditions of the mean square convergence of the numerical solution are studied. Some case studies are discussed. 展开更多
关键词 STOCHASTIC Partial Differential EQUATIONS Mean SQUARE SENSE Second Order Random Variable Finite Difference Scheme
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