• This paper gets discretization equation by integrating the basic equation of unsteady heat conduction and writes a calculating program.

    此文根据非稳定热传导基本方程式积分得到离散化方程式,编写出计算程序。

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  • The discretization equation obtained takes the same form as that for the pure conduction problem, with the radiation heat flux at the interface appearing as an additional source term.

    推导结果表明,此时离散方程的形式仍与纯导热物体的形式相同,只是界面上的辐射热流以源项的形式进入到离散方程中。

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  • Given the stability, error estimate of full discretization for the linear equation.

    给出该线性方程全离散的稳定性和误差估计。

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  • It mainly carries on the continuous process stochastic differential equation discretization of the research.

    技术上的思想主要是将连续过程的随机微分方程离散化来进行研究。

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  • Numerical scattering is one of the most common discretization errors in the numerical method for radiative transfer equation.

    数值散射是辐射传递方程近似算法中最常见的离散误差。

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  • By analyzing the differential equation for GM(1,1), this paper deduces one accurate discretization model to solve GM(1,1) model.

    通过分析GM(1 ,1 )模型白化形式微分方程的解析表达式,导出了求解GM( 1 ,1 )的精确离散化模型。

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  • Discretization in angular coordinate is needed only and the global equation is a second order characteristic matrix equation.

    该一维有限元列式只需对扇形区域在角度方向上离散,最后的总体方程为一个二次特征根方程。

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  • The discretization and relevant numerical technique for the equation are briefly described.

    简述了方程的离散化及有关的数值技术。

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  • By the discretization of spatial variable in the equation, a third-order differential system of equations containing periodic time-varying coefficient is derived.

    采用微分求积法对方程中的空间变量进行离散,得到仅含有时间变量的三阶周期系数微分方程组。

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  • Numerical Methods for PEDs, Integral Equation Methods, Lecture 6: Discretization and Quadrature (PDF).

    偏微分方程数值方法,积分方程法,课程6:离散与求积法(PDF)。

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  • Numerical Methods for PEDs, Integral Equation Methods, Lecture 3: Discretization Convergence Theory (PDF).

    偏微分方程数值方法,积分方程法,课程3:离散收敛理论(PDF)。

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  • The variational method is utilized for the discretization of the governing transient conduction-convection equation, with heat transfer coefficients adaptively determined by the actual mill data.

    生产应用中,采用短时、长时自学习方法对换热系数进行在线修正,进一步提高模型的预测精度和稳定性。

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  • We propose an implicit discretization for the level set equation of the model and solve it using additive operator splitting scheme (AOS).

    本文提出,首先,将该模型对应的水平集方程做隐式数值化,然后采用加性算子分割方法(AOS)求解。

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  • We propose an implicit discretization for the level set equation of the model and solve it using additive operator splitting scheme (AOS).

    本文提出,首先,将该模型对应的水平集方程做隐式数值化,然后采用加性算子分割方法(AOS)求解。

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