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说明：  用matlab实现的有限元工具箱，有平面空间梁单元，杆单元，实体单元等。(achieved using Matlab Toolbox FEM, graphic space beam elements, rod elements, entities modules.)

分别采用GMM和KDE对Iris数据集进行密度建模，并进行对比。通过EM算法来确定GMM参数，通过交叉验证来确定K值(GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation)

Python bindings for CUDA 2.1 with numpy integration

说明：  任意给定一个M进制的数X，利用栈实现数值转换。(Given an arbitrary number of M band X, use the stack to achieve numerical conversion.)

线性方程组迭代解法,包括SOR，CG ，BICG等(linear system iteration solver)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

判断城市电话区号是否合法的算法,对于理解算法有参考意义(Urban telephone area code to determine the legality of the algorithm, algorithm reference value for understanding the)

matlab的smote算法，可以用于分类时样本数据不平衡的问题(matlab smote algorithm, can be used to sample data classification problem of unbalanced)

数值分析方法库 本书编写了300多个实用而有效的数值算法C语言程序。其内容包括：线性方程组的求解，逆矩阵和行列式计算，多项式和有理函数的内插与外推，函数的积分和估值，特殊函数的数值计算，随机数的产生，非线性方程求解等(Numerical analysis method to prepare a library book more than 300 practical and efficient numerical algorithm C language program. Its contents include: linear equations, calculation of inverse matrix and determinant, polynomial and rational function interpolation and extrapolation, function points and the valuation of special functions numerical calculation, random number generation, non- Solving linear equations, etc.)

使用Matlab软件计算Normal Copula,Student t Copula,Clayton Copula,Gumbel Copula的程序(Calculated Normal Copula, Student t Copula, Clayton Copula, Gumbel Copula using Matlab software )