- 更多网络例句与离散相关的网络例句 [注：此内容来源于网络，仅供参考]
-
The concepts of the measure of diversity, the least increment diversity and the finite coefficient of diversity are applied to predict subcellular location of a protein according to the characteristics of statistical results and the properties of the measure of diversity that can reveal total information of system. The proteins subcellular locations are predicted by using of the least increment of diversity with the data standardized transformation. In addition, the formulas for evaluating the performance of the prediction results are given.
针对统计结果的特点和离散量反映系统整体信息的性质，将离散量、离散增量和离散有限系数等概念应用于预测蛋白质的亚细胞定位，对数据作标准化变换后用离散量理论方法预测蛋白质亚细胞定位，最后给出预测结果优劣的评价公式。
-
We obtain that if any 〓 is discrete or elementaryand 〓 satisfies Condition A,then the algebraic limit G of group sequence 〓is discrete or elementary.
首先，我们不再仅仅考虑离散非初等群集〓的代数极限G，而是离散群或初等群群集〓的代数极限G，我们对〓上〓变换群中斜驶元及其不动点进行了细致研究，注意到任意一个斜驶元存在一个仅仅含有斜驶元的领域，从而证明了初等群群集〓的代数极限G仍然是初等群，进而我们得到了一个代数收敛定理：如果任一〓是离散群或者初等群并且〓满足条件A，那么，群列〓的代数极限G一定是离散群或者初等群。
-
The basic concept in these sections is replacing backward Euler's method by modified backward Eulers's method to approximate the characteristic differential equation and discretizing the convection-diffusion equation at the middle point of the approximate characteristic curve, which will make the convective term get up to second order accuracy.
这三节的基本离散方法是用改进的Euler公式代替向后Euler公式来近似特征微分方程，并且将近似特征线的中点作为离散节点，使得对流项的离散精度提高到二阶，对于扩散项，将其转移到待求时间层进行离散。
-
The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution.
基本思想是把连续的定解区域用有限个离散点构成的网格来代替，这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似，积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组，解此方程组就可以得到原问题在离散点上的近似解。
-
The result verifies that the discrete model with power series direct discretization method requires 100 memory length to obtain the better approximation, while one with continued fraction direct discretization method requires only 10 order. Thus the continued fraction direct discretization method is preferable to digital realization of fractional order control algorithms in engineering applications.
研究结果表明，幂级数直接离散法得到近似离散模型需要记忆长度为100方可获得较好的近似，而连分式直接离散法近似离散模型为10阶时就可以获得较好的近似，因此连分式直接离散法比较适合于分数阶控制算法的实际工程应用。
-
In discrete operator difference method, the displacements of the elements can be reproduced exactly in the discrete forms whether the displacements are conforming or not.
在离散算子差分方法中，无论单元位移函数是否协调，其位移函数均能在离散格式中得到十分好再现，说明了离散算子差分方法的离散格式是一种性能很优良的离散格式。
-
Thirdly, on the base of the existent error estimate of elliptical Galerkin projection operator, obtain semi-discrete and complete-discrete error estimates betwent EFG solution and exact solution of parabolic partial differential equation. Semi-discrete error estimate show that the rank of r is accordance with the approximation rank of subspace S_h. Complete-discrete error estimates show that it not only have relation with radius r of domain of influence, but also have relation with the step length of time variable and the way of discrete.Lastly, give typical examples and draw up procedures of MATLAB.
再次，在"椭圆Galerkin投影"算子的误差估计的基础上，对用EFG法解抛物型偏微分方程的EFG解与精确解之间作了半离散和全离散的误差估计，半离散的误差估计表明所给出的误差界限关于r的阶是与子空间S_h的逼近阶相一致的，全离散的误差估计表明所产生的误差不但与影响域半径r有关，而且与离散时间变量的步长τ及其离散方式有关。
-
And we show that random walk model converges to the stable law of Lévy-Feller advection-dispersion equation by use of a properly scaled transition to vanish-ing space and time steps,We propose an explicit finite difference approximation for Lévy-Feller advection-dispersion equation.
第三章讨论描述服从某种稳定分布反常扩散的非对称空间分数阶对流-扩散方程——Lévy-Feller对流-扩散方程，首先利用Fourier变换和Laplace变换给出方程的基本解，然后利用Grünwald-Letnikov分数阶导数移位离散算子离散方程中的Riesz-Feller分数阶导数得到离散格式，证明此格式可以解释为离散随机游走模型，并且证明了当时间和空间步长以一定的比率同时趋于0时，所提出的离散随机游走模型收敛到Lévy-Feller对流-扩散过程的稳定分布。
-
Discrete calculus , discrete probability distribution s, discrete Fourier transform s, discrete geometry , discrete logarithm s, discrete differential geometry , discrete exterior calculus , discrete Morse theory , difference equation s, and discrete dynamical system s.
在应用数学中，离散模型连续模型的离散近似。在离散模型中，离散方程are fit to 数据。使用递推关系是这种建模方式的一般方法。时标微积分是差分方程理论与微分方程理论的统一，应用在需要建立离散和连续同步数据模型的领域。
-
Using the mathematical tool"DifferenceGeometry",it is possible to define the discrete geometric metrics such as discretefirst fundamental form,discrete second fundamental form,discrete unit mainnormal vector,discrete Gauss curvature,discrete mean curvature and discreteLaplacian.
首先，运用"差分几何"这一工具，可以构造离散第一、第二基本形式，离散单位主法向，离散高斯曲率，离散中曲率等离散几何量和离散Laplace算子。
- 更多网络解释与离散相关的网络解释 [注：此内容来源于网络，仅供参考]
-
discrete deterministic process：离散决定性过程,离散确定性过程
discrete data 离散数据,离散型数据,分立数据,不连续资料=>離散的データ | discrete deterministic process 离散决定性过程,离散确定性过程 | discrete device chip 分立芯片装置
-
discrete uniform distribution：离散均匀分布,离散均匀分布
discrete random variable 离散随机变量,离散随机变数 | discrete uniform distribution 离散均匀分布,离散均匀分布 | discriminant 判别式
-
discrete probability distribution：离散概率分布,离散概率分布
discrete data 离散数据 | discrete probability distribution 离散概率分布,离散概率分布 | discrete random variable 离散随机变量,离散随机变数
-
discrete power series distribution：离散幂级数分布;离散幂级数分配
离散最适设计 discrete optimal design | 离散幂级数分布;离散幂级数分配 discrete power series distribution | 离散型机率分布;离散型机率分配 discrete probability distribution
-
discrete topological space：离散拓扑空间;离散位相空间
离散时间 discrete time | 离散拓扑空间;离散位相空间 discrete topological space | 离散拓扑;离散位相 discrete topology
-
discrete topology：离散拓扑;离散位相
离散拓扑空间;离散位相空间 discrete topological space | 离散拓扑;离散位相 discrete topology | 离散赋值 discrete valuation
-
discrete circular uniform distribution：离散环状均匀分布;离散环状均匀分配
离散的 discrete | 离散环状均匀分布;离散环状均匀分配 discrete circular uniform distribution | 离散资料 discrete data
-
discrete information source：离散情报源,离散信息源=>離散的情報源
discrete information 离散信息=>離散情報 | discrete information source 离散情报源,离散信息源=>離散的情報源 | discrete input action 离散输入动作
-
discrete lognormal distribution：离散对数常态分布;离散对数常态分配
离散位置族 discrete location family | 离散对数常态分布;离散对数常态分配 discrete lognormal distribution | 离散最适设计 discrete optimal design
-
discrete maximum principle：离散极大值原理,离散最大值原理=>離散型最大原理
discrete material 松散材料 | discrete maximum principle 离散极大值原理,离散最大值原理=>離散型最大原理 | discrete message 离散消息,离散信息