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Solving delay differential systems with history functions by the Adomian decomposition method

机译:用Adomian分解法求解具有历史函数的时滞微分系统。

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A number of nonlinear phenomena in many branches of the applied sciences and engineering are described in terms of delay differential equations, which arise when the evolution of a system depends both on its present and past time. In this work we apply the Adomian decomposition method (ADM) to obtain solutions of several delay differential equations subject to history functions and then investigate several numerical examples via our subroutines in MAPLE that demonstrate the efficiency of our new approach. In our approach history functions are continuous across the initial value and its derivatives must be equal to the initial conditions (see Section 3) so that our results are more efficient and accurate than previous works.
机译:延迟微分方程描述了应用科学和工程学中许多分支中的许多非线性现象,这些延迟微分方程是在系统的演化取决于当前和过去的时间时出现的。在这项工作中,我们使用Adomian分解方法(ADM)来获得受历史函数影响的几个时滞微分方程的解,然后通过MAPLE中的子例程研究几个数值示例,以证明我们新方法的有效性。在我们的方法中,历史函数在初始值上是连续的,并且其导数必须等于初始条件(请参见第3节),以便我们的结果比以前的工作更加有效和准确。

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