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Truncated Euler-Maruyama method for classical and time-changed non-autonomous stochastic differential equations

机译:截断的Euler-Maruyama方法,用于经典和时间改变的非自治随机微分方程

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摘要

The truncated Euler-Maruyama (EM) method is proposed to approximate a class of non-autonomous stochastic differential equations (SDEs) with the Holder continuity in the temporal variable and the super-linear growth in the state variable. The strong convergence with the convergence rate is proved. Moreover, the strong convergence of the truncated EM method for a class of highly non-linear time-changed SDEs is studied.
机译:提出截短的欧拉 - 玛雅(EM)方法,以近似一类非自治随机微分方程(SDE),在时间变量中的保持器连续性和状态变量中的超线性生长。证明了收敛率的强烈收敛。此外,研究了一类高度非线性时间改变的SDES的截短的EM方法的强烈收敛。

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