DDES

Also , DDES can interdict the attack sources working in network edge service in the same time.

同时配合网络边缘设备对攻击源实施阻断.

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This paper deals with numerical methods and theoretical analysis for delay differential equations ( DDEs).

本论文主要研究延迟微分方程的数值方法，并进行理论分析。

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In general, the exact solutions can be given only for few DDEs.

一般情况下，只有极少数延迟微分方程能够获得精确解的解析表达式。

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DDES uses the distributed framework, many probes cooperate to analyze and process in order to enhance processing performance.

它采用分布式的结构，多个探测子节点协同分析处理以提高处理性能；

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The synchronization algorithms are the mechanism of guaranteeing the rightness of the causality between the models of DDES.

同步算法是分布离散事件仿真中确保模型之间发生事件的因果关系正确性的机制。

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Generally, it is difficult to obtain analytical solutions of DDEs, so many scholars pay their attention to numerical analysis for DDEs.

由于其解析解在大多数情形难以获得，因此延迟微分方程的数值分析研究近年已引起学者们的广泛关注。

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Also, DDEs can interdict the attack sources working in network edge service in the same time.

同时配合网络边缘设备对攻击源实施阻断。

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Linear multi-step method, θ-method, and Runge-Kutta method are effectively numerical methods for solving DDEs and NDDEs.

我们知道，求解各类延迟微分方程，线性多步法，θ-方法和Runge-Kutta方法都是非常有效和常用的方法。

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