我想指出，

Svd Feature包含一个很灵活的Matrix Factorization推荐框架，能方便的实现SVD、SVD++等方法, 是单模型推荐算法中精度最高的一种。SVDFeature代码精炼，可以用相对较少的内存实现较大规模的单机版矩阵分解运算。 另外含有Logistic regression的model，可以很方便的用来进行ensemble运算

用matlab仿真对光谱进行定标和很好的一个随机数发生器-Matlab simulation of the spectrum used for calibration and a very good random number generator

这个程序描述了弹性波在粘弹性介质的传播过程，程序很详细，对于初学者有一定的帮助，对于那些有一定的基础，读这个程序也有很大的帮助，希望你们能充分去看他。这个程序描述了各个情况下的波的传播过程，输出了一些时刻的波场快照，并且输出了水平和垂直的地震记录，很有用的呀

平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies: (1) U U = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is "positive definite" which guarantees the existence of such kind of decomposition. -Average factor decomposition method applied to positive definite matrix First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X = UU, where U is the square root matrix of X, and satisfies: (1) UU = X (2) U is upper triangular (that is, it has all zeros below the diagonal). It seems that the assumption of positive definiteness is necessary. Actually, it is positive

一个自定义的SPIN控件，使用方便-a SPIN-defined controls, easy to use

用VC编写的迷宫最短路径求解。-VC prepared by the shortest path to solve the maze.

求网络的最小费用最大流网络版-for the minimum cost network flow largest online edition

资源描述训练BP网络实现异或，能够实现简单的识别作用

ASN．1编码与解码过程的一种形式化描述.rar-ASN. An encoding and decoding process of a formal description. Rar

现对一些生产序列（随机的非线性）进行预测，GM-Are a number of production sequences (random non-linear) to predict, GM