4zeyunsuan

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.)

高斯-赛德尔迭代法是解线性方程组的常规算法，本文是C语言的高斯-赛德尔计算代码(Gauss-Seidel C program)

α-β-γ滤波函数，可实现对等间隔的观测数据进行滤波估计。(α-β-γ filter function design by C language. Complete the filter evaluation function for equidistant discrete data.)

说明：  C++调用STK 仿真软件的程序。可以实时进行场景仿真。(C++ simulation software program called STK. Scenarios can be simulated in real time.)

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.)

数值分析中用C 语言验证验证Gauss列主元消去法。(Numerical analysis using the C language to verify verify the Gauss column principal component elimination.)

超级好用的书，面试必备，包括常用的算法介绍，面试题目等等(Super easy to book, interview essential, including the commonly used algorithm is introduced, interview questions, etc.)

用流体计算李指数的。是用excel中的vba做的小程序。(calculated the lyapunov exponent)

汽车油耗计算（C实现）对于家用经济型小轿车来说，统计油耗是经常做的一件事。本题目要求根据汽油单价、每次加油所用钱数，以及该次加的油所跑里程数计算出该车的百公里油耗，并进行保存，根据需要给出统计数据。(Vehicle fuel consumption calculation (C implementation) for the household economy cars, the fuel consumption statistics is often one of the things. The questions asked based on gasoline price, amount of money each fuel used, and the second oil added to calculate the mileage run car 100 km fuel consumption, and save, according to the need to give statistics.)

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> )