A neural network algorithm for computing matrix eigenvalues and eigenvectors 一种计算矩阵特征值特征向量的神经网络方法
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The algorithm is proved to be faster than the dichotomy which is based on the distribution theory of matrices eigenvalues by theoretical analysis and numerical results . it is reasonable on theory and effective on computational practice 理论分析和数值结果表明，本文提出的算法比基于矩阵特征值分布理论的二分法收敛速度快，是理论上合理、计算上行之有效的普遍适用的算法。
