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Convergence and Stability of the Truncated Euler-Maruyama Method for Stochastic Differential Equations with Piecewise Continuous Arguments 被引量:3

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摘要 In this paper,we develop the truncated Euler-Maruyama(EM)method for stochastic differential equations with piecewise continuous arguments(SDEPCAs),and consider the strong convergence theory under the local Lipschitz condition plus the Khasminskii-type condition.The order of convergence is obtained.Moreover,we show that the truncated EM method can preserve the exponential mean square stability of SDEPCAs.Numerical examples are provided to support our conclusions.
出处 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE CSCD 2021年第1期194-218,共25页 高等学校计算数学学报(英文版)
基金 This work is supported by the National Natural Science Foundation of China(No.11671113) the National Postdoctoral Program for Innovative Talents(No.BX20180347).
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