The cell centered finite volume method is used as the spatial discretization method.
空间上应用中心平均的有限体积法进行离散。
The finite volume discretization method and treatment of boundary condition were presented.
采用有限容积法离散方程，附加源项法处理边界条件。
Finally, the algorithm can improve the basic global discretization method, and is tested on the soil sorts data of agricultural expert system.
该方法改进了基本的整体离散化算法，并利用农业专家系统中的土壤分类数据对算法进行了验证。
In fact, any numerical discretization method has truncation error and there's no need to treat the difference equations as equality constraint.
事实上，由于任何数值离散方法均存在截断误差，将其作为等式约束是没有必要的。
Solving integral equations of supercavitating flow based on the finite difference time discretization method, some numerical results are obtained.
采用时间有限差分离散化方法求解超空泡流积分方程，得到了问题的数值解。
Based on algorithm C4.5, this paper has put forward a new discretization method based on attribute transforming.
在c4.5算法的基础上，讨论了新的基于属性变换的连续属性处理方法。
Develops the two dimensional mathematical models for direct-buried pipes and in-duct pipes and solves them using the boundary discretization method.
建立了供热管网直埋、地沟敷设管道的二维数学模型，通过边界离散方法进行了求解。
Appropriate discretization method and reduction method are chosen and a few but enough decision rules are obtained, which can make the real-ti me diagnosis program simple.
其中在粗集诊断部分，提出了适合该研究对象的离散和简约方法，从而得到了少量但足够用的决策规则，使得实时诊断程序结构简单，实时性好。
A new supervised discretization method is proposed, which is based on Bayes measure to automatically find the most appropriate boundaries for discretization and the number of intervals.
它能够在无先验知识的前提下，自动寻求最佳的离散子区间数目和区间划分。
The basic principle of numerical simulation, zone discretization method, solution techniques and some application examples are described in light of the characteristics in metallurgical process.
结合冶金过程的一些特点概述数值模拟仿真的基本原理、区域离散化方法、求解技术及应用实例。
We give a discretization method for the viscous terms of the two-dimensional shallow water equations , and the obtained discretized equations are used to solve the backward-facing step flow problem.
对二维浅水方程粘性项给出了一个离散方案，并将其应用于求解后台阶流动问题。
At last, it is pointed out that all of the discretization method can lose part of information more or less, but at present there is no certain method to determine which method is better, or more fit.
最后指出，现有的离散化算法都会或多或少地损失部分信息，目前还没有确定的评判准则评论哪一种方法更好、更合适；
At last, it is pointed out that all of the discretization method can lose part of information more or less, but at present there is no certain method to determine which method is better, or more fit.
最后指出，现有的离散化算法都会或多或少地损失部分信息，目前还没有确定的评判准则评论哪一种方法更好、更合适；
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