• 讨论了含参数线性方程渐进应用纵振和扭研究

    The application of the asymptotic solution of second order linear homogeneous equation with big parameter to studying the longitudinal and twisted vibrations of tapered sticks is discussed .

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  • 在增益色散效应的影响下,得到相似脉冲渐进解振幅函数相位函数、线性啁啾函数和脉冲时域宽度。

    We have obtained the self-similar pulse amplitude function, phase function, strict linear chirp function, and thee?ective temporal pulse width.

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  • 采用修正研究了力学中应用范围比较广泛一类具有系数线性齐次方程求得了其修正渐进

    A class of second orders homogeneous equations with varied coefficient widely applied in mechanics were studied using the amended asymptotic method, and the amended asymptotic solution was derived.

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  • 对于系数具有周期性时,我们给出渐进周期存在并且唯一必要条件

    In case the coefficients are periodic, we give some sufficient conditions for the existence and uniqueness of asymptotic periodic solution.

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  • 公式具有渐进对偶特性并且可以保证找到原问题的最

    This formulation possesses an asymptotic strong duality property and guarantees a success for identifying an optimum solution.

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  • 最后讨论了概周期现象得出了概周期唯一存在性全局渐进稳定性充分条件

    Finally, we discuss almost periodic phenomena, and obtain some sufficient conditions which assure the unique existence and globally asymptotic stability of almost positive periodic solution.

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  • 本文研究一类非线性中立时滞差分方程非振动渐进性,改进了相关结果

    This paper is concerned with of asymptotic behavior for a family of neutral delay nonlinear difference equations, which improves some known results.

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  • 研究了N种群互惠系统周期渐进概周期,并得出其相关结果

    This paper is mainly concerned with the problem of almost periodic solution and asymptotically almost periodic solution of the N-species cooperation system and some results are given.

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  • 如果名刚开始学者,帮忙很多有可能你提供循序渐进神经网络途径

    If you are really a beginner, it will help you a lot, and may provide you a step by step approach towards understanding neural networks.

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  • 非线性优化问题渐进逼近算法求出其全局最优

    The sequential outer approximation approach can give a global optimization solution to the original problem.

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  • 非线性优化问题渐进逼近算法求出其全局最优

    The sequential outer approximation approach can give a global optimization solution to the original problem.

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