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The delay differential equation is an important offshoot of modern applied mathematics.

结论时滞微分方程是现在应用数学的一个重要研究课题。

In this paper, we study the existence of solutions for high-order ordinary differential equation systems and delay differential equations, subject to different conditions.

本文研究高阶非线性常微分方程组和高阶非线性时滞微分方程在不同的假设条件下正解的存在性和多重性。

In the second chapter, we study an infinite delay differential equation, the system was widely applied in the biology, neural network and some other fields.

第二章是研究一类无穷时滞微分系统,此系统在生物,神经网络等领域中都有广泛应用。

The second is about delay dependent differential equation.

第二类为时滞依赖于状态的微分方程。

In the dissertation, we consider a parameterized delay differential equation as followswhereλandμare two real parameters.

我们考虑如下参数化的时滞微分方程其中λ和μ为参数。

At the same time, numerical solutions of delay differential equation can also give birth to EPCA.

常微分方程的数值求解可以自然的产生EPCA,时滞微分方程的数值求解也可以产生EPCA。

One of them is piecewise continuous argument delay differential equation, simply called EPCA.

其中第一类为分段连续的时滞微分方程,简称为EPCA。

The existence of periodic solutions of a neutral integro-differential equation with infinite delay was studied.

摘要本文考虑具无穷时滞中立型积分微分方程周期解的存在性。

Priori bounds are established for periodic solutions of a high order Rayleigh Equation with delay.

本文首先建立了一类具时滞高阶Rayleigh方程的周期解的先验有界性。

Delay differential equation is applied widely in many fields, such as Mechanics, Physics, Life Sciences, Economics, Medical Sciences and so on.

时滞微分方程在力学、物理学、生命科学、经济学、医学等诸多领域都有广泛的应用。

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