是一个矩阵的奇异值分解算法的源码包，是在SVDPACKC的基础上进行的封装，典型应用是在LSI算法中用来降维生成一个小的语义空间。-is a matrix of the singular value decomposition algorithm source package is SVDPACKC conducted on the basis of the package, the typical application is in the LSI algorithm used to gene

In linear algebra, the Cholesky decomposition or Cholesky factorization is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, useful for efficient numerical solutions an

In the mathematical discipline of linear algebra, a triangular matrix is a special kind of square matrix. A square matrix is called lower triangular if all the entries above the main diagonal are zero. Similarly, a square matrix is called upper trian

机器学习算法，利用SVD简化数据，SVD矩阵分解，推荐引擎，提高性能-Machine learning algorithm, using SVD simplify data, SVD matrix decomposition, recommendation engine, improved performance