向量

Maximum model values are found for the channel matrix Hi of each user and for each column vector of the matrix, position information of the matrix is transmitted to a transmitting terminal, the transmitting terminal reconstructs the amplitude of each element of the column vector after receiving the position information, and phase position is quantized, wherein, after reconstruction, the amplitude of the element with the maximum model value is larger than that of other elements of the column vector, and a quantized angle of the element with the maximum model value is smaller than that of the other elements of the column vector; c.

对每个用户的信道矩阵Hi，对该矩阵的每个列向量，找出其最大模值，将其位置信息发送给发射端，发射端收到后对该列向量各元素的幅度进行重构，相位进行量化，其中最大模值的元素重构后其幅度大于该列向量其余元素的幅度，其量化角度小于该列向量其余元素的量化角度；c。

During the process of model smoothing, there is an uncertain weight threshold, which is discussed in detail for scientific evaluating.2. In the part of "3D Model Segmentation", the vector of Gauss-Mean curvature, that of Max-Min curvature, that of RMS-Absolute curvature are compared through their performances in segmentation.

在三维模型分割方面，对高斯-均值曲率向量、最大-最小曲率向量、RMS-绝对曲率向量等三种特征向量在分割中的性能，以及指定聚类数目对分割结果的影响通过试验进行了比较。

Inmodel is either a logical vector, whose length is the number of columns in X, or a vector of indices, whose values range from 1 to the number of columns in X, specifying the predictors that are included in the initial model. The default is to include no columns of X.

其中 X 为自变量矩阵， y 为因变量矩阵， inmodel 可以为一个逻辑向量，它的长度为 X 中列向量的个数或者说变量的个数；也可以一个序列向量，它的取值范围为1－ X 中列向量的个数，用来指定模型中的初始变量，默认值是没有选取任何 X 的列向量。

First, we transform many TFBS sequences with the same length into a model of 24-demension vector. Second, the TFBS that will be identified are transformed into 24-dimension vector, too. Third, we calculate an angle vector between vector of the TFBS and model vector in different dimension.

此方法先把多条具有相同长度的转录因子结合位点序列转化为一个24维的向量模型，同时把待识别的各条序列也转化为相应的24维向量，然后计算待识别序列对应的向量与模型向量之间在各个分量上的角度，从而得到一个24维的角度向量。

The method relies on the facts that the row vectors composed of all the image points span, the same linear subspace as the row vectors composed of 3D space points span and that a basis of the subspace can consist of two row vectors composed of all the image points and one row vector in 3D space that is orthogonal to the former. The row vector can be determined, and the 3D reconstruction is accomplished. The novelty lies in the fact that the method can treat all the image points uniformly.

利用所有图像序列构成的行向量生成的子空间之和与三维空间点构成的行向量生成的子空间是同一线性子空间、同时由所有图像点构成的2个行向量外加一个行向量就可以组成该子空间的一个基底的特性，线性地求取子空间中的行向量，最后完成三维重建。

First,by choosing a control function for a local adaptive optimal neighborhood,the filter window is set in the region with similar normals to avoid the problem of shrinkage and over-smoothing.

首先通过自适应选取最优邻域控制函数来将滤波窗口限制在顶点法向量相近的区域，以防止滤波后模型的收缩和过光顺；然后运用协方差矩阵分析的方法，在最优邻域内计算出各采样点的法向量和曲率；最后以采样点滤波参考平面为基准，分别平滑采样点的法向量和位置，即先对采样点的法向量进行多边平滑，然后根据新的法向量来多边平滑输出各采样点的位置偏移量，最后在法向方向上移动该顶点，以达到降噪的目的。

Programming to derive fuzzy optimal solutions and fuzzy optimal classification function seta fuzzy set which value is fuzzy optimal classification function and member degree is λ(0≤λ≤ 1,therefore the linear fuzzy support vector machine is constructe...

对于非线性模糊分类问题，引入核函数，类似于线性模糊分类问题得到非线性模糊支持向量分类机。最后构造显示模糊支持向量分类机特点的模糊支持向量集取值为模糊训练点，隶属度为λ(0≤λ≤1的模糊集合。模糊支持向量分类机较好地解决了支持向量机中含有模糊信息的分类问题。

For this reason, the author of the article puts forword a new concept projective vector and coefficient "image" of projective vector. Coefficient of projective vector is put forword by the author for the frist time. It is of high value, both in mathematics and theory.

为此，本文给出了"一个向量在另一个向量方向上的射影向量和射影向量系数"的概念，"射影向量系数"这一概念，为作者本人首次提出，具有重要的教学价值和理论价值。

Firstly, the damaged structure was measured to obtain the residual force vector matrix. Then the matrix was compared with the one of undamaged structure to get the difference matrix. The biggest absolute value in each row of the difference matrix formed the improved residual force vector.

该方法首先通过测试损伤结构多阶模态得到残余力向量，并计算相对于损伤前结构的残余力向量得到残余力向量差矩阵，选取向量差矩阵各行元素中最大绝对值组成改进的残余力向量。

This paper generalizes the conclusion of Perfect nonlinear S-boxes by Nyberg(1991), and introduces the conception of inverse regular generalized vector Bent function. It shows that for inverse regular generalized vector Bent function f with even variables, m is no more than half of?. It also shows that when the input dimension n is odd, the regular generalized vector Bent function and the inverse regular generalized vector Bent function do not exist. This may prevent the cryptology designer from seeking the inexistent function.

摘要该文完善并拓展了Nyberg(1991)的关于广义向量Bent函数性质的结论，相应于Nyberg给出的正则广义向量Bent函数，提出了&负则的广义向量Bent函数&的概念：得到有偶数个输入的负则的广义向量Bent函数输出维数也不大于输入维数的一半；证明了奇数个输入的正则和负则的广义向量Bent函数都不存在，这些结果的给出，可使密码设计者避免一味去寻找某类不存在的函数。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。