Numerical stationary distribution and its convergence for nonlinear stochastic differential equations
نویسندگان
چکیده
منابع مشابه
Numerical stationary distribution and its convergence for nonlinear stochastic differential equations
To avoid finding the stationary distributions of stochastic differential equations by solving the nontrivial Kolmogorov-Fokker-Planck equations, the numerical stationary distributions are used as the approximations instead. This paper is devoted to approximate the stationary distribution of the underlying equation by the Backward Euler-Maruyama method. Currently existing results [21, 31, 33] ar...
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ژورنال
عنوان ژورنال: Journal of Computational and Applied Mathematics
سال: 2015
ISSN: 0377-0427
DOI: 10.1016/j.cam.2014.08.019