迭代矩阵的谱半径估计。
在用迭代法求解线性方程组时，迭代矩阵的谱半径估计及其收敛性分析是非常重要的。
For solving the linear system with the iterative method, it is very important to estimate the spectral radius of the iterative matrices and give the convergence analysis.
本文对一个矩阵的最小示性数进行了研究，并证明了一个矩阵的最小示性数等于其对应的非负矩阵的谱半径。
It is proved in this paper that the minimal characterizing number of a matrix is equal to the spectral radius of the corresponding non-negative matrix.
本文对一个矩阵的最小示性数进行了研究，并证明了一个矩阵的最小示性数等于其对应的非负矩阵的谱半径。
It is proved in this paper that the minimal characterizing number of a matrix is equal to the spectral radius of the corresponding non-negative matrix.
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