dquxinghedao

说明：  用C语言编写多元线性回归方程，写得不好的地方请指教！(Using C language multiple linear regression equation, where poorly written, please advice!)

二元二次多项式曲面拟合法的Matlab实现，含有M文件及数据文件示例(Binary quadratic polynomial surface fitting Matlab, contain the M-file and the data file example)

Evesen开发的洛伦兹模型耦合集合卡尔曼滤波算法(Lorenz model coupled with ensembled Kalman Filter)

该程序实现了基于罗德里格矩阵的三维坐标转换，该算法简单快速，无需迭代而具有较高的精度(The program implemented based on three-dimensional coordinate transformation matrix Rodriguez, the algorithm is simple and fast, without iteration and with high precision)

使用C编写的复数矩阵求逆，使用高斯消去法，已经和matlab结果做过对比，无误(Written in C and the complex matrix inverse, using the Gaussian elimination method, has been done and matlab results contrast, correct)

对于网格上每个点求取法向量的方法，程序实现的比较好(Compute normal vectors of 2.5D triangulation)

本程序求相关性K值大小，采用傅里叶矩阵和haar矩阵内积。(The procedures for seeking the size of the K value of the correlation, the use of the Fourier matrix and haar matrix of inner product.)

该算法，先对协方差矩阵进行休整，然后用信息论的方法得出信号的源数，这是进行空间普估计的基础(The algorithm, first on the covariance matrix for a rest, and then used information theory methods to draw a number of signal sources, it is estimated that the basis of space S )

说明：  lu分解矩阵求逆... =========== 紫薯紫薯...(Matrix LU decomposition inversion)

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> )