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modular matrix相关的网络例句

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Diagonalization of square matrix is a difficulty learning problem in linear algebra and it also is an important character for square matrix.

对方阵可对角化的充要条件的理解,一直是线性代数学习中的一个困难问题。

In this paper, the concept of congruent diagonalization of matrix is presented, and the problem of diagonalization of one matrix is generalized.

提出矩阵合同对角化概念,对一个矩阵对角化问题进行推广思考,讨论了二个矩阵的同时对角化问题,取得了一些结果,给出了有关算

The research for diagonally dominant matrix is the important task of matrix theory.

矩阵的对角占优性质的研究是矩阵理论中的重要课题之一。

Generalized strictly diagonally dominant matrix plays an important role in matrix theory and real applications.

广义严格对角占优矩阵在矩阵理论和实际应用中具有重要的作用和意义。

There are many methods to judge a matrix be a generalized strictly diagonally dominant matrix.

广义严格对角占优矩阵有很多判定方法。

But it isn't easy to determine whether the matrix is or not generalized strictly diagonally dominant matrix in reality, especially for the large matrices.

但实际中对此类矩阵进行有效判别,尤其是对大型矩阵的判别,还存在许多困难。

This thesis mainly study for judging the problem of a matrix is a generalized strictly diagonally dominant matrix by using gradually declines rank method.

本论文主要研究的是逐次降阶法判定广义严格对角占优矩阵的问题。

In this paper we present an estimate for bounds of module of eigenvalues of the iteration matrix M^(-1)N for a kind of Baily-Crabtree diagonally dominant matrix M.

该文对一类Baily-Crabtree型对角占优矩阵M,给出了迭代矩阵M^(-1)N的特征值模的上下界估计。

Particularly, for some generalized diagonally dominant matrix M, upper bounds of the spectral radius of the iterative matrix M~(-1)Nare presented.

对矩阵M-为几类广义对角占优矩阵的情形,给出了迭代矩阵M~(-1)N谱半径的上界估计式。

In this paper,the estimates of upper bounds for the spectral radius of the iterative matrix M~(-1)N for some generalized diagonally dominant matrix M are presented.

对几类广义对角占优矩阵M,给出了迭代矩阵M~(-1)N谱半径的上界估计式,所得结果较已有结果适用于更加广泛的矩阵类。

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