• We've we've written a differential equation here.

    我们已经写出了一个微分方程。

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  • This example demonstrates the use of lsode, an ordinary differential equation solver.

    这个例子展示了lsode的用法,这是一个常见的微分方程解算器。

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  • This is the full differential equation for the full mechanism. Not just one part of it.

    这是整个机理的完整的微分方程,不是它的一部分。

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  • And just to tell you again that is a strange partial differential equation relating these two vector fields.

    再说明一下,这是关于这两个向量场,多少有点奇怪的偏微分方程。

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  • In this approach we have the freedom in the choice of step size during the integration of the ordinary differential equation.

    在这种方法中,我们可以在对常微分方程进行积分的过程中自由选择步长。

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  • This is a six-order delayed differential equation.

    这个模型是一个六阶时滞微分方程。

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  • The integral differential equation solution technique is used.

    采用了积分一微分方程求解技术。

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  • Newton's second law can be expressed as a differential equation.

    牛顿第二定律可表达成微分方程。

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  • Firstly, we derived the differential equation of motion of system.

    文中首先建立了系统的运动微分方程。

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  • The differential equation algorithm is also examined and improved in this paper.

    在本文中,对微分方程算法也作了探讨和改进。

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  • It is a new method to generate surfaces with partial differential equation (PDE).

    用偏微分方程(PDE)构造曲面是一种新兴的曲面造型方法。

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  • Partial differential equation is widely used in problems of science and engineering.

    偏微分方程在科学和工程上有着广泛的应用。

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  • The partial differential equation is solved by Alternating Direction Implicit algorithm.

    采用交替方向隐式算法求解偏微分方程。

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  • Continuum equation and momentum differential equation compose the traffic dynamics model.

    连续性方程和运动微分方程构成了交通流的动力学模型。

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  • This paper obtains a new oscillation theorem of high-order differential equation with damping.

    本文建立了具有阻尼项的高阶微分方程新的振动定理。

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  • Uncertain differential equation is a type of differential equation driven by canonical process.

    不确定微分方程是由标准过程驱动的一类微分方程。

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  • First, we get the small noise asymptotic results for stochastic differential equation with jumps.

    首先,我们得到了带跳的随机微分方程的小噪音渐近结果。

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  • The concrete solving process can be reduced to finding derivative, differential equation or integral.

    具体求解方法可归结为求导数、求解微分方程或求积分。

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  • The State-Space method is applied to compute the differential equation of the elastodynamics of mechanism.

    应用基于状态空间法的闭式算法对机构弹性动力学微分方程进行求解。

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  • The model's order and parameters are estimated from the differential equation directly without iterations.

    该方法无须迭代即可直接从微分方程辨识出模型阶次和参数。

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  • Some problems of quantum mechanics can be solved easily by means of the invariant of differential equation.

    利用常微分方程的不变式,非常方便地求解了一些量子力学问题。

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  • This paper introduces a simplified method of deriving observable canonical form from differential equation.

    介绍一种简单易懂的由微分方程推导可观测标准形的方法。

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  • The result shows that it is effective for solving ordinary differential equation with variable coefficients.

    结果表明,该方法对于求解各类变系数常微分方程是十分有效的。

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  • It is a difficult problem studying the existence of periodic solutions of differential equation in abstract Spaces.

    研究抽象空间微分方程周期解的存在性一直是比较困难的问题。

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  • Abstract: Some problems of quantum mechanics can be solved easily by means of the invariant of differential equation.

    文摘:利用常微分方程的不变式,非常方便地求解了一些量子力学问题。

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  • In this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series.

    本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。

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  • A nonlinear partial differential equation model based on nonlocal information was proposed to remove noise and preserve the edges.

    针对传统扩散模型中的边界模糊问题,提出一种基于非局部信息的非线性偏微分方程去噪模型。

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  • Therefore, the research on backward stochastic differential equation is of considerable theoretical significance and practical value.

    因此,研究倒向随机微分方程具有重要的理论意义和应用价值。

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  • Therefore, the research on backward stochastic differential equation is of considerable theoretical significance and practical value.

    因此,研究倒向随机微分方程具有重要的理论意义和应用价值。

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