linear-equations

复杂网络的结构检测室近几年的研究热点，目前最快的算法是标签传播！(Community detection is hot topic in recent years. The most fast algorithm for community detection is Label Propagation Algorithm(LPA),and this is the program!)

利用ARIMA处理分析时间序列，计算数列相关性和数字特征并通过计算所得值进行一定范围的预测(ARIMA processing analysis time sequence, to calculate a number of columns and digital characterized by the calculated value for a certain range of the prediction)

说明：  VC实现，天文导航算法及实现 包括数据的获取、加工、处理、保存为文件(VC, astronomy, navigation algorithm and implementation including data acquisition, processing, handling, preservation of documents)

含列所有图像处理的VC++程序，包括图像转置，傅立叶变换，图像编码等(Containing all image processing VC++ Procedures, including image transpose, Fourier transform, image coding, etc.)

frft程序函数，分数阶傅立叶变换，短时傅立叶变换，傅立叶变换(the frft program function, fractional Fourier transform, short-time Fourier transform, Fourier transform)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )

面向对象的有限元程序设计 ——空间8结点等参元的分析计算(Object-oriented finite element program design- space 8 node isoparametric element analysis calculation)

实对称矩阵的schur分解，编译即可运行，需要文件输入(schur decomposition for real symmetric matrix,the program can run successfully, you need a file for input)

四阶龙格库塔法，用C++编写，很有参考价值(Fourth-order Runge-Kutta method, written in C, a good reference)

APRIORI ALGORITHM IMPLEMENTATION