矩阵是计算数学中应用极其广泛的矩阵类。
The m matrix is the matrix type which is widespread applied to the computational mathematics.
说明：基于VC++编写的矩阵类库源代码，可以实现。
Based on VC + + to prepare a matrix class library source code, can be achieved.
的符号模式矩阵类定义为符号模式为A的所有实矩阵的集合。
The sign pattern matrix class of a is defined by the set of all real matrixes those sign pattern is a.
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。
General solutions of above inverse problem in positive definite matrix and in orthogonal matrix are given here by using factorization method of matrix.
还给出了大批属于负稳定矩阵和完全主正阵交集的便于应用的矩阵类。
Some kinds of matrices are given, which belongs to the intersection of negatively stable matrices and totally principal positive matrices and can be used conveniently.
另外，为了方便程序的实现，还引入了数值计算类，包括矩阵类、向量类。
Meanwhile, two numerical computation object(including class Matrix Vector) are defined for the convenience of the programming.
竞赛矩阵和竞赛图由于具有固定行和向量及列和向量的非负矩阵类的计数，是组合数学的一个非常困难的问题，因此对具有固定得分向量的竞赛矩阵的计数问题也比较困难。
But it is very difficult to compute the number of non-negative matrix with fixed score row or column vectors, so to compute the number of tournament matrix with fixed score vector is also difficult.
CwMtx没有内置的随机数生成器，也没有用随机元素填充矩阵的类函数。
CwMtx has no built-in random number generator, and there is no class function that fills a matrix with random elements.
最后，jama也不是一个通用的数组类，相反，它主要关注于与矩阵数值计算相关的数学运算。
Finally, JAMA is not a general-purpose array class. Instead, it focuses on the principle mathematical functionality required to do numerical linear algebra.
第四章主要介绍了两类矩阵不等式及其在线性统计中的应用。
In chapter four, we mainly introduce the two types of matrix inequalities and their applications in statistics.
然后，对传统的矩阵聚类算法进行优化，改进为权值矩阵聚类算法。
Then, for tradition matrix clustering algorithm carries on the optimization, improved as weight matrix cluster algorithm.
最后，分析了社会化标注中个性化信息推荐的研究，发现借助矩阵、聚类和网络的分析是三种主要思路。
Finally, studies on personalized information recommendation based on social tagging are analyzed, and find matrix, clustering and network analysis are three primarily methods.
本文主要讨论了两类结构矩阵的逆特征值问题。
In this paper, two kinds of structure inverse eigenvalue problems are discussed.
循环矩阵是一类重要的特殊矩阵，在许多领域中有广泛的应用。
Cyclic matrix is a special and importance matrix, and applied in many field.
文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。
In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.
接着对分布约简的可辨识矩阵中等价类的区分关系进行改进，提出一种新的近似约简算法。
Secondly, it introduces an improved algorithm which revises the discernibility relation of similarity sets on the basis of the Discernibility Matrix of distribution reduction.
提出了基于聚类的核矩阵维度缩减技术。
A novel method for dimensionality reduction of kernel matrix is presented.
实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
本文提出了求一类矩阵方程组的最小二乘中心对称解的一种迭代法。
In this paper, an iterative method is presented to find the least squares centrosymmetric solution to a kind of matrix equations.
灰色聚类法，不仅能够相当正确地判别结构的可靠性等级，而且在灰色聚类系数矩阵中显示了各样本对于不同鉴定等级的隶属程度。
This method can not only exactly judge the reliability grade of the structure, but also display the subjection of various samples to different grades in grey clustering coefficient matrix.
导出了在SU_6分类下，计算能量矩阵元的公式。
The formula for the energy matrix element under SU_6 is also derived.
通过邻接矩阵，计算网络的聚类系数。聚类系数是复杂网络中一个重要参量。
Through the adjacency matrix, computing networks, clustering coefficient. Clustering coefficient is a complex network, an important parameter.
采用追踪法计算等价模糊矩阵，并提取聚类后的脉冲序号，更具有实际意义。
The equivalent fuzzy matrix was calculated with the tracking method and the serial number of the pulses was obtained, these have greater practical significance.
本文讨论了七类结构酉矩阵特征值问题的向后误差。
In this paper, backward errors for seven kinds of structured unitary matrix eigenvalue problems are discussed.
本文给出了求聚焦矩阵的一类方法，聚焦前后阵列信噪比没有任何损失。
This paper proposed a class of approaches of seeking focusing matrix and the array signal to noise ratio after and before focusing was without any loss.
主要对定义在一般数域上的3 -幂零矩阵的相似等价类的个数问题进行探讨。
In this paper, we mainly discuss the enumeration problem of the equivalence class of 3-nilpotent matrix defined in normal number fields.
本文将模糊聚类最大矩阵元原理与基于数据迭代为基础的模糊ISODATA聚类分析相结合，形成模糊混合聚类法。
The maximum matrix element principle of fuzzy cluster analysis is combined with the fuzzy ISODATA cluster analysis in this paper, thus a fuzzy mixed cluster method is established.
本文将模糊聚类最大矩阵元原理与基于数据迭代为基础的模糊ISODATA聚类分析相结合，形成模糊混合聚类法。
The maximum matrix element principle of fuzzy cluster analysis is combined with the fuzzy ISODATA cluster analysis in this paper, thus a fuzzy mixed cluster method is established.
应用推荐