差别在于这个处理是由循环包围的，该循环迭代跨越已声明语言所保存的向量。
The difference is that the process is wrapped by a loop that iterates across the saved vector of declared languages.
矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。
Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.
采用矩阵迭代法可以直接迭代计算特征向量导数，避免了对奇异灵敏度方程的求解。
Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.
为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。
In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.
提出了一种计算自适应方向图权向量的迭代算法。
In this paper, an iterative algorithm is presented to compute weight vector of adaptive pattern.
分层快速多极算法被用来加速用迭代法求解线性方程组时的矩阵向量乘积的运算。
Multilevel fast multipole method is used to fast calculate the matrix-vector product when we solve the linear system by iterative method.
新算法使用时变遗忘因子对误差进行指数加权平均来估计均方误差，并使用该因子改变自适应迭代过程中滤波器系数向量的更新方向。
In the new algorithm, a time-variant forgetting factor is introduced to estimate the Mean Square Er-ror (MSE) and change the updating direction of adaptive filter coefficient vector.
迭代法中的雅克比迭代法是一种比较常用的方法，它公式简单，每迭代一次只需计算一次矩阵和向量乘法。
Yacobi method belongs to iteration methods, and is widely used. It has simple formula, which needs only time multiplication of matrix and rector for one iteration.
求解大型结构矩阵低阶特征值和特征向量，子空间迭代法是有效方法之一，而且其应用也比较普遍。
The subspace iteration method is used in several general purpose structural analysis programs for the solution of the eigenpairs.
它是自然幂迭代方法的一个延伸，不仅跟踪主子空间，而且得到了主特征向量。
It is an extension of the natural power method because it is a solution to obtain the principal eigenvectors as well as to track the principal subspace.
在交替迭代过程中，考虑到算法收敛较慢，一种称为向量外推的加速方法被采用。
During the alternate iteration, an acceleration method called as vector extrapolation was applied to the alternate iteration steps owing to slow convergence of the algorithm.
针对结构隐式极限状态函数的可靠性分析，提出了一种支持向量机分类迭代算法。
For reliability analysis of structure with implicit limit state function, an iterative algorithm was presented on the basis of support vector classification machine.
丈中利用双梯度算法对自然图像的基向量进行迭代学习。
The basis vectors of the natural images were obtained by using fast conjugate gradient algorithm.
在隐空间中支持向量机求解过程中，引入改进粒子群算法用于搜索空间的迭代。
During the solving course of hidden space support vector machine, this paper introduces the Particle Swarm Optimize Algorithms.
由截面各类复合内力的极限状态建立截面破坏的各类功能函数，导出了各类功能函数的梯度向量计算公式，以及破坏概率计算的迭代、递推公式。
The formula of the gradient vector of every performance function is derived, and the iterative and recurrence formulas of collapse probability of section are obtained.
在该算法中，除了需要对功率向量进行迭代更新以外，还要对接收机滤波器的抽头系数不断迭代更新。
In the new algorithm, both the power vectors and filter coefficients are needed to be iterated and updated.
最后采用基于迭代的方法，重新估计所有块梯度向量并将梯度向量场转化为方向场。
This new method mainly comprises three steps: firstly, normalize the point-gradient vectors and calculate the block-gradient vectors and the corresponding block-coherence;
最后采用基于迭代的方法，重新估计所有块梯度向量并将梯度向量场转化为方向场。
This new method mainly comprises three steps: firstly, normalize the point-gradient vectors and calculate the block-gradient vectors and the corresponding block-coherence;
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