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As an important content in mathematics, Conjugation can be studied and discussed from different aspects such as differential coefficient, algebra, geometry and so on.

摘要共轭是数学中一个重要的内容,讨论也有不同的方法,可以用微分、代数、几何等方法。

Under the higher-dimensional situation, it introduces mainly the multiple integrals formulas on some standard areas, the multiple integrals formula by the methods of sampling, the reduction of dimensions and the boundary type cubature with a certain algebraic precision, and calculate multiple integrals with the methods of number theoretical net and so on.

在高维情形下,主要介绍了一些标准区域上的多重积分公式,用抽样法来求多重积分,具有代数精度的降维展开式和边界型求积公式,以及用数论网格的方法来计算高维积分等。

Of course, you also can have a try the method that uses from above to below, search the market total scale that sees your product to have to the net first how old, your set target, with year be an unit and need not be a month, with take division, advanced even algebra, target of the first year is occupational the market share of 15%, set breaks up every year one time (it is easy to such comparison, excel is pulled came out), the 2nd year 30%, the 3rd year 45%, the 4th year 60%......

当然,你也可以试试看用自上而下的方法,先到网上搜索一下看你产品的市场总规模有多大,你设定目标,以年为单位而不必是月,用乘除法,甚至高等代数,第一年的目标是占领15%的市场份额,设定每年翻一番(这样比较容易,Excel一拉就出来了),第二年30%,第三年45%,第四年60%。。。。。。

As a graphical framework for formally describing interactive system, basic graph can represent processes and the interaction between processes in two ways: one is graphical representation, where a graph corresponds to a process and reduction in a graph corresponds to interaction between processes; the other is using term algebra consisting a set of terms and an equational theory on terms.

基本图是一种描述并发交互系统的形式化方法,它具有描述简洁、清晰和直观的特点。在基本图中,进程以及进程间的交互行为,既可以用图表示方法(其中一个图对应一个进程,图之间的归约对应进程之间的交互行为),又可以用项代数来表示。

As we know, the resulting algebraic equations are large systems of non-linear equations with the expanded mixed finite element method for the equation.

用扩张混合有限元方法对其进行离散是常用的方法,其离散化所获得的代数方程组是一很大的非线性方程组。

They are presented in need of special curves and surfaces in engineering applications. In order to prove that the uniform C-B-spline basis is normalized totally positive, we compute the matrix which transforms the C-Bézier basis into the uniform C-B-spline and decompose this matrix into a product of. bidiagonal and stochastic factors.

本文用递推的方法,计算出代数三角空间中的n次C-Bézier基与n次均匀C-B-spline基之间的转换矩阵,并把该矩阵分解为一系列二对角阵的乘积,从而证明出n次均匀C-B-spline基是一个标准全正基,进一步用插入节点的方法,把它扩充为一组标准B基,从而我们可以利用B基的很多优良性质,在工程应用中对这两组基进行开发利用。

They are presented in need of special curves and surfaces in engineering applications. In order to prove that the uniform C-B-spline basis is normalized totally positive, we compute the matrix which transforms the C-Bézier basis into the uniform C-B-spline and decompose this matrix into a product of. bidiagonal and stochastic factors. Furthermore, we give a normalized B-basis by inserting knots.

本文用递推的方法,计算出代数三角空间中的n次C-Bézier基与n次均匀C-B-spline基之间的转换矩阵,并把该矩阵分解为一系列二对角阵的乘积,从而证明出n次均匀C-B-spline基是一个标准全正基,进一步用插入节点的方法,把它扩充为一组标准B基,从而我们可以利用B基的很多优良性质,在工程应用中对这两组基进行开发利用。

In order to study the numerical method to solve the viscous incompressible flow with free surface, the 3-D mathematical model for steady and unsteady hydrodynamic problem had been established and closed by k-εbuoyant turbulence model. The algebraic coordinate transformation method was used to fit the free surface, the Runge-Kutta method of three step and second precision was devised to simulate the time step. A high precision up-winding compact scheme was studied for the convection term, and the generalized conjugate residual method was set to solve the Poisson equation.

为了研究粘性不可压缩三维问题的数值求解方法,本文从基本的Navier-Stokes方程出发,采用代数拟合方法处理自由表面,用三级二阶Runge-Kutta方法对时间步进过程进行了模拟,并且对对流项的高精度迎风格式进行了研究,给出了求解压力Poisson方程的广义共轭剩余法,从而建立了能够模拟有自由表面的粘性不可压缩问题的定常、非定常三维水动力学模型,并采用k—ε浮湍流模型对其进行封闭。

There are three main methods in face localization: localization according to face outline, localization according to complexion and localization according to templates constructed by some standard sample images. As to feature extraction, it can be divided into two parts because face features can be divided into geometrical features and algebraic features. While extracting geometrical features, the features of eyes, nose, mouth, eyebrows can be gained by some image processes: binary, sharpen, smooth, projection, calculating gradient and so on. In order to extract algebraic features, we can do some mathematical transformation for the digital images such as singular value decomposition, K-L transformation.

在人脸检测部分,目前存在的方法有利用人脸的几何轮廓进行检测、利用人脸的肤色信息进行检测、构造标准人脸模板进行匹配检测等等;在人脸特征提取部分,可以用一些图像处理的方法如投影、二值化、求梯度图像等提取人脸中各特征器官如眼睛、鼻子、嘴巴等的几何特征,另外也可以借助于数学变换,求取人脸图像的一些代数特征,如对图像进行奇异值分解,以奇异值代表图象的特征,或对图像进行K-L变换,以图像在构造的特征空间上的投影系数作为图像的特征等;在识别部分,可以通过距离度量或相似度来判断输入图像与样本图像的匹配程度,还可以通过神经网络方法进行人脸的识别。

This method allows for a more accurate processing of boundary condition on the semiconductor layer in XLPE cable of stator winding than the standard finite element, so that the interlaminated issue of boundary condition on interface can be avoided. A general algorithm is applied to deal with both the Dirichlet and the periodic boundary condition in 2D or 3D magnetic field problem.

提出了用有限元法计算磁场问题时周期性边界条件和第一类边界条件的统一处理方法,利用该方法在不改变代数方程组阶数、保持系数矩阵性质不变和带宽基本不变的条件下,使两种强加边界条件能同时处理,简化了程序编制,并与寻址方法相结合,提高了计算速度。

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However, as the name(read-only memory)implies, CD disks cannot be written onorchanged in any way.

然而,正如其名字所指出的那样,CD盘不能写,也不能用任何方式改变其内容。

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