The 3D small body shape and the state of spacecraft can be estimated by using SVD factorization method at the same time.
根据窄视场相机的特点，用弱透视近似透视投影，并利用因式分解算法重构小天体模型，同时估计探测器的位置、姿态。
The factorization method for three-dimensional oscillator to show the method for formula match and recurrence relation in CA;
以因式分解法解三维谐振子径向方程为例说明解析递推关系和公式匹配的计算机处理；
A local LU factorization method was proposed to solve pressure equation for mold filling in injection molding and was compared with iterative methods.
提出了一个LU局部分解方法来求解注射充模过程的压力方程，并与其他迭代方法进行了比较。
General solutions of above inverse problem in positive definite matrix and in orthogonal matrix are given here by using factorization method of matrix.
本文用矩阵分解法给出该反问题在正定矩阵类及正交矩阵类中的通解。
A real factorization method based on evolutionary algorithms is proposed for finding tbe roots of the characteristic equation of a linear time-invariant closed-loop system.
针对线性定常闭环系统特征方程的求根问题，提出了一种基于演化算法的实因式分解法。
The performance of multifrontal method is evaluated and compared with direct sparse factorization method through load flow calculation and transient stability simulation using IEEE benchmark data.
以IEEE检验系统为例，通过数值试验将多波前算法与电力系统分析中常用的稀疏三角分解技术进行对比分析。
On the basis of requesting another factorization of an integer in only one way, two interesting asymptotic formulas on cub complements are obtained through the elementary method.
在通过对任一正整数提出另外一种唯一分解式的基础上，利用初等方法得到了关于立方补数的几个有趣的渐近公式。
Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.
非负矩阵分解具有非负性和局部性的特点，是一种新型的特征提取方法。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
Methods A simple method for distinguishing of exponential distribution family is obtained based on factorization theorem.
方法在因子分解定理的基础上提出了一个判别指数型分布族的简单方法。
A novel method based on factorization and bundle adjustment, as well as its principle and implementation is presented.
针对现有算法中精度与计算量的矛盾，提出一种基于因子分解与光束法平差的新算法。
And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization (NMF) is presented.
并在特征提取环节，提出CSVD算法与非负矩阵因子算法特征数据相融合的人脸识别算法。
If the transform matrix type is a half pixel matrix, then the method includes applying a factorization technique to decode the bit stream corresponding to the half pixel matrix.
若该变换矩阵的类型是半像素矩阵，则该方法应用因子分解技术解码与该半像素矩阵对应的比特流。
Absrtact: Non - negative matrix factorization (NMF) is a method of parts - based feature extraction, it has been already applied to face recognition successfully.
摘要：非负矩阵分解方法是基于局部特征的特征提取方法，已经成功用于人脸识别。
The proposed method transfers the real factorization problem into a numeric optimization problem, which is solved by an evolutionary algorithm based on hybrid crossovers and intermittent mutation.
该法先将实因式分解问题转化为数值优化问题，再用基于混合杂交与间歇变异的演化算法求解该优化问题。
Large Numbers of experiments show that the combination strategy is effective, and the two algorithms have better performance and convergence than LU factorization and conjugate gradient method.
大量实验结果表明此结合策略是很有效的，得到的两种算法具有较快的速度和较好的收敛性。
Large Numbers of experiments show that the combination strategy is effective, and the two algorithms have better performance and convergence than LU factorization and conjugate gradient method.
大量实验结果表明此结合策略是很有效的，得到的两种算法具有较快的速度和较好的收敛性。
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