1·Singular value is a good characteristic of matrix.
奇异值是矩阵的一个良好特征。
2·Parallel Lanczos SVD (Singular Value Decomposition) solver.
并行Lanczos SVD(奇异值分解)计算。
3·A least squares solution via singular value decomposition is used to solve the matrix equation.
本文使用奇异值分解法求解矩阵方程的最小二乘解。
4·Then, a method is presented based on the singular value decomposition to compute the minimal norm solution.
然后用奇异值分解给出了求解最小范数解的一种方法。
5·The minimum singular value of the power flow Jacobin matrix can be used to evaluate the voltage stability margin.
潮流雅可比矩阵最小奇异值可用来评估系统电压稳定裕度。
6·Using the singular value decomposition technique, the method for measuring the modal controllability is determined.
利用奇异值分解技术确定了定量度量模态可控程度的方法。
7·A face identification method based on singular value decomposition (SVD) and data fusion is proposed in this paper.
提出了一种基于奇异值分解和数据融合的脸像鉴别方法。
8·The singular value decomposition least squares(SVDLS)method was improved for the various dynamic spectrum analysis.
本文改进了处理动态光谱的奇异值分解最小二乘法（SVDLS）。
9·As an index of static voltage stability the minimum singular value is widely used in power system stability analysis.
最小奇异值作为静态电压稳定指标已广泛应用于电力系统的稳定分析之中。
10·Singular value is extracted as to feature of cylinder explosive noise signal from Cover Matrix with singular value theory.
利用奇异值理论提取包含矩阵的奇异值作为气缸爆发噪声信号的特征。