algorithms(CPP)

C++程序求两点距离 可以点入坐标点(C++ program distance between two points)

偏最小二乘法中的交叉有效性计算,看看，可能有用(PLS cross-validity of the calculation, see, may be useful)

高斯回归建立代理模型行协方差函数的选着的变成(gpml-matlab-v3.1-2010-09-27)

基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见 (, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications)

对于给定的一组轨迹点，用优化方法实现铰链四杆机构轨迹复演。优化方法为共轭梯度法。(For a set of track points,we use a optimization method to optimize the track of Hinge four-bar mechanism. The optimization method is conjugate gradient.)

经典R-K法，通过它可以计算一些简单的常微分方程的数值解(Classical RK method, which can be calculated by simple numerical solution of ordinary differential equations)

在VS2005环境下，使用CUDA编程实现SAR成像中CSA算法的实现，得到了很好的加速比。(In the VS2005 environment, using the CUDA programming SAR imaging algorithm implementation in the CSA, has been very good speedup.)

用VBA在Excel里实现分级计算，实现通过年终奖和月收入计算个人所得税的功能。数据为2012年最新的标准，对于会计电算化人员有非常强的实用性。(VBA in Excel to achieve grade calculated to achieve the functionality of the calculation of personal income tax through the end of the year Award and the monthly income. The data for 2012 the latest standards, computerized accounting personnel have a very strong practicability.)

埃特金加速法,一个数值分析中的算法,大家先看看哦(Aitken acceleration method, a numerical analysis of the algorithm, we look at the flash open her cloak)

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> )