矩阵的正奇异值分解

Positive Singular Value Decomposition for Matrix

利用有关矩阵的特征值及特征向量可求出矩阵一种新分解（正奇异值分解），该分解比奇异值分解简单易求，且与矩阵的奇异值分解有相似的性质和应用。

A novel method of decomposition for matrix（positive singular value decomposition） is proposed. Matrix decomposition can be obtained by using the eigenvalues and eigenvctors of the matrix,which is much easier than singular values decomposition（SVD）. Furthermov- er,this method is similar to singular value decomposition on properties and applications.