In this paper the author gives a general expression and the property of a3degreelinear recurrence sequence by using Jordans normal form of the coefficient matrix. 用3阶线性递归序列的系数矩阵的若当标准形,给出了3阶线性递归序列的通项及一个性质。
Improvement on the Algorithm of Equal Line Sum Decomposition for Sample Correlation Coefficient Matrix 关于样本相关系数矩阵等行和分解算法的改进
Application of TOPSIS Model Based on Gray Correlation Coefficient Matrix in the Evaluation of Water Environmental Quality 基于灰色关联系数矩阵的TOPSIS模型在水环境质量评价中的应用
Positive is the important hypotheses of many financial forecasting models, but the correlation coefficient matrix we get from actual samples are not always positive. 正定性是许多金融预测模型的重要假设前提,然而从实际样本中得到的相关系数矩阵并不能保证其正定性。
Dynamic flexibility coefficient matrix and its measurement for Aeroengine supporting system 航空发动机支承系统的动柔度系数矩阵及其测量
Research of Multi-focus Image Fusion Based on Information Coefficient Matrix 基于信息系数矩阵的多聚焦图像融合
This paper gives the properties and applications of direct consumption coefficient matrix in multi-sector macroeconomics. 本文给出投入产出技术中直接消耗系数矩阵的性质,以及它在多部门宏观经济中的应用。
PE_k solution for linear equation system with special M-matrix as its coefficient matrix 系数矩阵为特殊M-矩阵的线性方程组的PEk解法
At the same time, we have discussed the influences of change of one element in direct consumption coefficient matrix on department output multiplier and department total output, and price as well. 讨论了某一直接消耗系数的变化对部门产出乘数、部门总产出及价格的影响。
The red and black ordering method about the coefficient matrix of a class of linear equations and the condition number of schur complement matrix deduced from red and black matrix are studied. 研究了一类线性方程组系数矩阵的红黑排序方法,以及由红黑排序矩阵导出的舒尔补矩阵的条件数。
This paper analyses the impact of the coefficient matrix in the algorithm on the measurement error and compares the result with the impact of the coefficient in full-wave Fourier algorithm. 对此算法中系数矩阵对测量误差的影响进行了分析,并与全波傅氏算法的系数对测量误差的影响进行对比,对实现短数据窗的最小二乘算法的难点进行了探讨,得出了结论。
In camera calibration with line correspondences, it is important to determine the rank of the coefficient matrix of the equation system in a quick and efficient way. 探讨在利用对应直线进行摄像机外部参数校正的过程中,如何快速简便地确定齐次方程组系数矩阵秩的问题。
In the solving process of the allocation problem with the Hungarian method, it is necessary to determine the maximum allocation of zero elements of the transformed coefficient matrix. 匈牙利算法是求解指派问题的一个很好的算法,但一般情况下,火力分配问题的数学模型不具备指派问题的模型形式。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation. 针对只有一个参数是以非线性形式出现的纯非线性回归模型,提出一种新方法确定模型中的回归系数。
The solution of the equation set is obtained by means of reflection transmittance coefficient matrix algorithm. 借助反射透射系数阵递推算法,得出了方程组的解。
An efficient way to compute projection coefficient matrix together with memory optimization is presented in this paper. 提出一种可以在联合代数重建方法中快速计算投影系数矩阵并优化内存的方法。
Because of the preconditioner, the condition number of the coefficient matrix is largely improved. 由于预条件器的使用,系数矩阵的条件数得到了很大改善。
The influence coefficient matrix was obtained. 通过分析,得到了雷诺数、湿度对涡扇发动机特性的影响系数及影响系数矩阵。
As an example, the coefficient matrix of the turn-to-turn fault is given. 以匝间短路为例,给出了系数变化矩阵。
At each iteration, triangular factorization of the coefficient matrix is carried out by performing QR decomposition on two partitioned matrices and by solving a set of linear equations involving a sparse triangular matrix. 在每次迭代中,通过对两个分块矩阵的QR分解和一个稀疏三角线性方程组的求解,实现了系数矩阵的三角分解。
Two properties of the coefficient matrix are introduced. 本文给出了系数矩阵的两个性质。
A new count method based on updated coefficient matrix of efficiency is presented. 提出了一种修正的有效系数法。
The influence coefficient matrix of the linear axisymmetric triangular element and the input vector expression are derived. 推导了轴对称线性三角形元的影响系数矩阵和输入向量公式;
First spectral derivative, correlation coefficient matrix are used to analyze the similarity and relativity among spectral waves. 针对原始波谱中各个光谱波段,首先采用波谱曲线一阶导数、相关系数矩阵分析各光谱波段在表达反射信息上的相似性、相关性。
Using influence coefficient method, the first and second order influence coefficient matrix is established. 利用影响系数法构建该机构的一阶及二阶影响系数矩阵。
Image degradation process can be described as motion compensation matrix and the fuzzy coefficient matrix. 图像降质过程可以描述为运动补偿矩阵和模糊系数矩阵。
Through Binary bit-plane decomposition we can get 10 matrixes which have the same size of low frequency coefficient matrix. 如果将低频小波系数矩阵进行二进制位平面分解,则可以得到10个与低频系数矩阵大小相等的二值矩阵。
So we can change the spectral properties of the coefficient matrix, and improve the convergence. 从而改善系数矩阵的谱性质,加速迭代方法的收敛。
Then we get a set of linear equations, whose coefficient matrix is sparse and diagonally dominant. 这样得到一个线性方程组,并且系数矩阵是对角占优稀疏矩阵,给计算带来了极大的方便。
The sparse Bayesian learning algorithm guarantees the sparsity of the weighting coefficient matrix. 稀疏贝叶斯学习算法的应用,使得加权系数矩阵具有很好的稀疏性,保证了重建图像的质量。