test

使用ABAQUS软件进行过渡网格划分，帮助用户建立良好的过渡网格的小工具(use the ABAQUS to divide the transition gridding)

数值分析课程必备的算法：列主元高斯消去法算法。有需要的同学下载(Numerical analysis courses required algorithms: PCA out Gaussian elimination algorithm. Those students in need to download)

一维等离子体的plrc—fdtd算法程序(one-dimensional plasma plrc- fdtd Algorithm)

说明：  地球处理多边体的重磁异常的正演，主要是地球数据处理的课程的实验项目2(The forward modeling of gravity and magnetic anomalies in the earth s processing of the multilateral body is mainly the experimental project of the earth data processing course 2)

很好很实用的信号处理程序。适合学习和科研参考使用。(Very good very useful signal processing. Suitable for learning and scientific research use and reference.)

研究生动力学课程，计算多体动力学课程， 学习起来有点难度，如果有兴趣就看看吧(Graduate dynamics course)

计算地波传输衰减的程序,可以设置高度，大气条件等(Ground wave transmission attenuation calculation program, you can set the height, atmospheric conditions, etc.)

说明：  一维黎曼问题，一维问题，即激波管问题，是一个典型的一维可压缩无黏气体动力学问题，并有 解析解。对它采用二阶精度两步差分格式进行数值求解。(Riemann problem, One dimensional problem, the shock tube problem, is a typical one-dimensional compressible non viscous gas dynamic problem with analytic solutions. It is solved numerically by two order two step difference scheme.)

二分法，用于多项式求解，迭代12次能达到很高的精度(Dichotomy for polynomial solving, iterative 12 times to achieve high precision)

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> )