Riemann-solver

基于OpenMP的大型矩阵相乘的算法源码(Based on OpenMP for large matrix multiplication algorithm source code)

用于计算大物实验中常用的平均值和不确定度。(a simple tool to calculate average of input values.)

1） 应用C语言编写程序，计算弹道，并绘制结果曲线。 给出系统脱靶量统计结果（用蒙特卡洛法）。 (torpedo)

使用matlab实现智能预测控制算法，分数阶傅里叶变换计算方面,实现了图像的加水印，去噪，加噪声等功能。( Use matlab intelligent predictive control algorithm, Fractional Fourier transform computing, Realize image watermarking, de-noising, plus noise and other functions.)

fluent udf的动网格程序，实现了刚体和基于节点的运动(cg-motion grid motion)

说明：  在学习数字信号处理算法程序中用VC编写的几个通用算法程序。 卷积计算/DFT与FFT实现/(In the learning process of digital signal processing algorithms using VC General Algorithm for the preparation of several procedures. Convolution calculation/DFT and FFT realization /)

采用数值分析课程中的插值逼近以及曲面拟合方法来估算复杂的函数表达式。(Interpolation approximations and surface fitting methods are used in the numerical analysis course to estimate complex function expressions.)

MFC实现快速傅里叶变换（FFT）MFC实现快速傅里叶变换（FFT）(MFC MFC Fast Fourier Transform (FFT) fast Fourier transform (FFT))

数值分析的牛顿法,是用C编写的,希望大家互相参考!!1(Pleiades值tub cavity Xu Yang Lai Hey, Did using C met写cavity, submerged mode希望deceive gaze intently EC banana!! 1)

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> )