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Convergence Rates for the Truncated Euler-Maruyama Method for Nonlinear Stochastic Differential Equations
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作者 MENG Xuejing LYU Linfeng 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2023年第5期399-410,共12页
In this paper,our main aim is to investigate the strong convergence rate of the truncated Euler-Maruyama approximations for stochastic differential equations with superlinearly growing drift coefficients.When the diff... In this paper,our main aim is to investigate the strong convergence rate of the truncated Euler-Maruyama approximations for stochastic differential equations with superlinearly growing drift coefficients.When the diffusion coefficient is polynomially growing or linearly growing,the strong convergence rate of arbitrarily close to one half is established at a single time T or over a time interval[0.T],respectively.In both situations,the common one-sided Lipschitz and polynomial growth conditions for the drift coefficients are not required.Two examples are provided to illustrate the theory. 展开更多
关键词 truncated Euler-Maruyama method strong convergence moment boundedness
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