模拟波动方程的有限元程序 FEM

外国人写的卡尔曼滤波器算法的库，可以供大家参考，已经封装好了(kalman library)

遗传算法反演子程序，可用于地球物理非线性反演(The genetic algorithm inversion subroutine, can be used for nonlinear geophysical inversion)

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

用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)

对机械中的振动信号进行傅立叶变换，作出频谱图进行分析。(Fourier transform of the vibration signal)

本程序可以实现在交错网格条件下的三维有限差分正演模拟(This procedure can be achieved under the conditions of the staggered grid finite difference forward modeling)

this is fft header file for fast fourier transform. with this file, you can compute frequency spectrum zero to tow pi.

用谱方法计算流体力学一些流动现象的整体稳定性,MIMO OFDM matlab仿真,本程序的性能已经超过其他算法。( Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, MIMO OFDM matlab simulation, This program has exceeded the performance of other algorithms.)

涡格法进行无人机的设计，升力系数，阻力系数，力矩系数等等，美过圣母大学的设计辅助软件(VLM)

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> )