矩阵迭代法是求矩阵的第一阶特征值与特征向量的一种数值方法。

Matrix iteration method can be employed to figure out the first eigenvalue and eigenvector of a matrix.

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通过在个体类内保局差异散度矩阵的零空间中求最优特征向量，避免了矩阵的奇异性问题，解决了小样本问题。

The optimal feature vectors are extracted from the null space of intrapersonal locality preserving difference scatter matrix, which avoids the singularity and the SSS problem is solved.

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对于算法中涉及的求高阶实对称阵的最大特征值及其特征向量，采用幂法加以实现。

As for computing the largest eigenvalue and its eigenvector of a higher-order real symmetric matrix in the algorithm, the power method is used.

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