这都是根据题目要求而定的，有一个问题是，找出向量的分量就足够了吗？，还是说我们需要解出一条直线的方程？
It depends what the problem is asking the question is, is it enough to find the components of a vector or do we have to find the equation of a line?
假设我们的向量场有两个分量。
为了求出高度，需要知道这向量的垂直分量是多少。
And to find the height of this thing, I need to know what actually the normal component of this vector is.
这个是符号化的向量算子，其中它的分量是偏微分算子。
That was this symbolic vector operator in which the components are the partial derivative operators.
这个向量的所有分量就是这些偏导。
这是另一种形式，它意味着,要求出每点处向量在切向量方向的分量,我还是用之前那个向量场吧。
That is how we reformulated it. That means we take our curve and we figure out at each point how big the tangent component I guess I should probably take the same vector field as before.
和经典计算机机器状态只是唯一的一串1和0不同，QC的状态是一个向量，其分量包括所有可能的1和0组成的字符串。
Unlike a classical computer where the state of the machine is merely a single string of ones and zeros, the state of a QC is a vector with components for every possible string of ones and zeros.
我将要证明，一个只有z分量的向量场的通量,等于一个三重积分，其中被积表达式为。
I'm going to prove that the flux of a vector field that has only a z component is actually equal to the triple integral of, RzdV well, the divergence of this is just R sub z dV.
与各局部估计以及状态向量按标量加权融合估计相比，分量融合滤波具有更高的精度。
Compared with all local filters and the fusion filter weighted by scalars for the state vector, the component fusion filter weighted by scalars has higher precision.
介绍一种快速求解矩阵覆盖问题的算法，并对此算法进行了扩展，将原算法中向量的各个分量的取值范围扩大。
An algorithm resolving Matrix Cover problem rapidly is introduced and extended. The domain for the components of vectors is enlarged.
提出一种由固有频率和模态分量构成的组合参数作为支持向量机输入向量的方法。
A method using combined parameters of natural frequencies and modal components as input vectors for support vector machine is presented in this paper.
第二种是不同的结点有不同的时延向量且每个结点的分量也有不同的时延。
The second is that different node has different time-delay vector, and elements of each node also have different time delays.
对待识别音频，分别用已知说话人的时域基函数组计算各自的系数向量，并计算系数向量各分量之间的互信息。
To recognize a test speech signal, all sets of basis functions are used to produe the coefficient vectors, and the mutual information among the elements of the coefficient vectors are calculated.
针对LBG算法中初始码书生成存在盲目性的问题，提出了一种基于训练向量集合分量之间的相关性进行码向量分割的方法。
To alleviate the blindness of Linde-Buzo-Gray algorithm(LBG algorithm) while generating initial codebook, a new code word splitting method based on covariance of training vector is proposed.
因此，通过有限元软件ANSYS对具有各种损伤程度的结构进行模态分析，得到固有频率和模态分量的数据，经过归一化处理后作为神经网络的输入向量。
Therefore, through structural modal analysis with different damage degree using ANSYS, get natural frequencies and mode shape data as neural network input vector after unitary.
应用瞬时值对称分量变换，可提取电压、电流故障分量的正序空间向量。
The transformation of the instantaneous value symmetry component applied, the positive sequence space vector of fault component of the voltage and current can be derived.
在空战威胁估计中，把一架战机的态势量化为一个向量，每一个决策因素为一个分量。
The air combat situation of fighter can be formulated as a vector, an element of which is a decision factor.
加载向量P的元素是按编号顺序列表的加载分量。
The elements of the load vector, {P}, are the load components tabulated in numerical sequence.
读写改造过的梯度矢量和其分量和梯度一样的方式，你可以通过加rg的下标在你的宏中来得到梯度向量和其分量。
In the same way as the gradient, you can add the RG su_x to your macro to access the reconstruction gradient (RG) vector and components of a variable quantity.
该文以相分量故障处理方法为依据，提出了一种相分量坐标下的故障向量变换法。
This paper presents a new way, fault vector transformation method in phase coordinates, based on fault analysis of phase components.
通过对图像在每个像素的邻域的基础上进行主分量分析，产生每个图像像素的特征向量，再用PCNN对得到的特征图像进行点火分割。
It presents principal component analysis on image based on neighborhood unions of per-pixel to obtain the eigenvector of per-pixel, then USES PCNN to set on fire to segment image with feature image.
由于分类的依据是气泡表面积的大小，确定了圆面积和圆形度两个最能表征类圆形表面积的分量组成分类特征向量。
Area and circularity act as two elements of the eigenvector for they can remarkably characterize the surface area of the bubbles.
对不同频带的平稳分量建立相应的最小二乘支持向量机预测模型，将各模型的预测值等权求和得到最终预测值。
The different least square support vector machine (LS-SVM) models to forecast each IMF are built up. These forecasting results of each IMF are combined to obtain the final forecasting result.
并将听觉相关图中每个频带的频率分量幅值进行特征编码作为表征当前频带特性的特征向量。
Then the every frequency amplitude of auditory correlogram was coded as a feature vector expressing present frequency band characteristic.
并将听觉相关图中每个频带的频率分量幅值进行特征编码作为表征当前频带特性的特征向量。
Then the every frequency amplitude of auditory correlogram was coded as a feature vector expressing present frequency band characteristic.
应用推荐