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Strassn关于两个矩阵相乘的算法，同过分治原理把两个n*n的矩阵阶各分解成四个n/2*n/2阶的矩阵，当分解出来的矩阵阶数等于2时，求借各个小矩阵，若阶数大与2，就递归的调用前面方法，直到分解成2*2的子矩阵为止。-Strassn on two matrix multiplication, the algorithm, with the governing principle over two n * n matrix of the band decomposed into 4 n / 2
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很好用的有关矩阵的各种操作，包括求逆，特征值，特征向量，svd分解等-good part of the matrix of various operations including inverse, eigenvalues, eigenvectors, svd decomposition, etc.
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用cholesky法解最小二乘法，矩阵三角分解-Cholesky method for the least squares method, the matrix triangular decomposition
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LU分解发求逆阵，C语言源程序，测试过好用。-LU decomposition of the inverse matrix made, C language source code, tested easy to use.
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实对称正定矩阵LD和UD分解，即A=LDL^或A=UDU^，其中L为单位下三角矩阵，U为单位上三角矩阵，L^和U^分别是L和U的转置矩阵，代码自己写的，C++,学工科的同学可能会用到这两个分解，算法也有，可以-Real symmetric positive definite matrix LD and UD decomposition, that is A = LDL^ = UDU ^ where L is unit lower triangular matrix, U as a unit t
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关于矩阵运算的各种数值算法，包括实（复）矩阵求逆，对称正定矩阵与托伯利兹矩阵阵的求逆，线性方程组的常用解法，矩阵的各种分解方法，特征向量与特征值的求解等等。
-Numerical algorithms on a variety of matrix operations, including real (complex) matrix inversion symmetric positive definite matrix inverse matrix array with Tuobo Lee
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雅克比过关法算法求矩阵的奇异值分解，是雅克比算法的优化，提高计算速度-Jacobian immigration law algorithms singular value decomposition of a matrix, Jacobi algorithm optimization, improve computing speed
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矩阵的奇异值分解,通过C++实现矩阵的奇异值分解。-The Singular value decomposition of matrix
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附件中有数理统计的相关课件一章，并有toeplitz矩阵的一些经典分解和处理方法-Annex several statistics related courseware chapter, and there are some classic decomposition and matrix processing method toeplitz
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