NonCVX_MC

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.

编制了theta映射法的ansys蠕变子程序(a creep subroutine of ansys that considered the theta-projection method)

ANSYS中关于车桥耦合的接触法命令流，车辆模型为二分之一车(About the vehicle.the contact method in ANSYS command stream, with half vehicle model car)

采用dsp产生lorenz信号，以用于混沌保密通信，程序在ccs下调试并通过(using dsp have lorenz signal to be used in chaotic secure communications, Under procedures in ccs through debugging and)

该程序用于瞬变电磁勘探近区场计算，只要输入不同参数便可以得到近区场的视电阻率(The procedure transient electromagnetic exploration for near field calculations, as long as the input parameters can be different near field apparent resistivity)

this document contain some demonstrations in mathematics , it can bee very helpful for beginners

wolfe程序模块的C++算法，可以重复使用,对于解决一维搜索是很好的..(C++ algorithm wolfe program modules can be reused for solving one-dimensional search is good ..)

支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

说明：  Copula and tail dependence

适合运用fortran语言学习的人使用，对矩量法的公式进行了详细说明，有助于加深对矩量法的理解(Suitable for the use of FORTRAN language learning people use, the formula of the method of moments are described in detail, help to deepen the understanding of the method of moments)