证明了离散格是一个布尔代数，给出了离散格的表示定理。
It is proved that this lattice is a Boolean algebra, and the representation theory of discretization lattice is given.
其根本思想是对问题重新建模，建立直接模拟流体运动的离散格点模型。
Its essential idea is to rebuild its model for mathematical physical problems, and establish the disperse lattice model for simulating fluid movement directly.
通过定义离散化方案之间的偏序关系以及交、并运算，将各种离散化方案组织成离散格。
All discretization schemes are organized into a lattice named discretization lattice after partial order relation, then the meet and join operations between discretization schemes are defined.
采用了四阶龙格-库塔算法，将数学模型转换为可仿真的离散模型，并利用MATLAB7.0对其进行了计算机仿真。
The fourth order Runge-Kutta method is used to transform the mathematics model into discrete simulation model, using MATLAB7.0 simulation software to simulate its dynastic performance.
欧拉方法与拉格朗日方法分别用来处理气相场与离散的颗粒场。
Eulerian and Lagrangian methods are used to deal with gas-field and discrete particles respectively.
在模型中，对液相采用欧拉法建立控制方程，对离散颗粒采用拉格朗日方法模拟。
In this model, governing equations of liquid were established with Eulerian approach, and discrete particle phase was simulated through Largrangian method.
但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系，因而难以与拉格朗日松弛法的机组组合算法有机结合。
However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.
针对二维三温能量方程九点格式离散后形成的非线性方程组，研制了高效求解的代数解法器。
We developed a high performance algebraic solver for nonlinear systems discretized from two-dimensional energy equations with three temperatures by a nine point scheme.
在离散对数困难问题的条件下，利用不经意多项式估值协议和拉格朗日插值多项式来解密s2(方案2)。
Under the condition of a discrete logarithm problem, S2 is decrypted by the OPE (Oblivious Polynomial Evaluation) protocol and Lagrange Interpolation Polynomial (scheme 2).
数值离散时，将时间与空间分开进行处理，空间上的离散采用有限体积法，而时间上的离散则用三阶龙格-库塔法，对固壁边界的处理使用了“壁函数”法。
The finite volume approach in space, the three order Runge Kutta method in time and a "law of the wall" for the solid wall condition were used.
介绍了控制方程的空间离散和时间离散及时间项的四阶龙格库塔迭代法；
The spatial and time discretizations of the N-S controlling formulation were introduced. And four-stage Runge-Kutta iterative method of time discretization was introduced.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
程序中考虑了结构的大变形，采用全拉格朗日描述法，时间离散使用了纽马克法。
In the program the large deformation are considered by using Total Lagrange described method and time discreteness with Newmark method.
程序中考虑了结构的大变形，采用全拉格朗日描述法，时间离散使用了纽马克法。
In the program the large deformation are considered by using Total Lagrange described method and time discreteness with Newmark method.
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