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非线性随机延迟微分方程Euler-Maruyama方法的收敛性
引用本文:王文强,李寿佛,黄山.非线性随机延迟微分方程Euler-Maruyama方法的收敛性[J].系统仿真学报,2007,19(17):3910-3913.
作者姓名:王文强  李寿佛  黄山
作者单位:湘潭大学数学与计算科学学院,湖南,湘潭,411105
基金项目:国家自然科学基金;湖南省社会科学基金
摘    要:首先利用附近已有节点上的值通过插值对延迟项进行数值逼近,这是一种崭新的尝试;然后针对较一般情形下的一类非线性随机延迟微分方程初值问题,得到了带线性插值的Euler-Maruyama方法在均方意义下是收敛的理论结果,它部分推广了已有文献中的相关结论。

关 键 词:非线性随机延迟微分方程  Euler-Maruyama方法  插值  收敛性
文章编号:1004-731X(2007)17-3910-04
收稿时间:2006-09-15
修稿时间:2007-01-30

Convergence of Euler-Maruyama Methods for Nonlinear Stochastic Delay Differential Equations
WANG Wen-qiang,LI Shou-fu,HUANG Shan.Convergence of Euler-Maruyama Methods for Nonlinear Stochastic Delay Differential Equations[J].Journal of System Simulation,2007,19(17):3910-3913.
Authors:WANG Wen-qiang  LI Shou-fu  HUANG Shan
Institution:School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China
Abstract:The error analysis of Euler-Maruyama methods applying to a general class of nonlinear stochastic delay differential equations was concerned with. A new attempt to get the numerical approximation of the delay argument was proposed, i.e, the delay argument was solved by interpolating. It is proved that the Euler-Maruyama methods with linear interpolation procedure is convergent. Moreover, the results can be regarded as a partial extension of the similar conclusions in the present documents.
Keywords:nonlinear stochastic delay differential equations  Euler-Maruyama methods  interpolation  convergence  
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