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ON THE GENERALIZED Z-ALGORITHM FOR THE NEUTRAL STOCHASTIC FUNCTIONAL DIFFERENTIAL EQUATIONS WITH INFINITE DELAY

机译:具有无限延迟的中性随机函数微分方程的广义Z算法

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摘要

For any d-dimensional neutral stochastic functional differential equation with infinite delay and m-dimensional Brownian motion, we introduce a sequence of approximate equations and offer sufficient conditions such that the approximate solutions converge with probability one to the solution of the given equation. This iterative method called the generalized Z-algorithm is a generalization to many well-known analytic iterative method.
机译:对于具有无限延迟和M维褐色运动的任何D维中性随机功能差分方程,我们引入了一系列近似方程,提供了足够的条件,使得近似解决方案会聚在给定方程的解决方案的概率上。 这种称为广义Z算法的迭代方法是许多众所周知的分析迭代方法的概括。

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