用matlab求解的一个Lagrange插值多项式问题

根据日期算星期，调试通过-count on the date weeks, through debugging

poj3352给一个图,求出需要加最少的边使去掉任一条边,图都连通.割点的应用-poj3352 to a map, obtained at least the need to remove the edges so that any one side, map are connected. cut-point application

背包问题的 求解代码，自己用C++实现，里面包括0-1背包问题 和  单位质量的背包问题，包括如下几个关键的函数：void vwComp(Item*item,int n) ；void vwSort(Item*item,int n)；int getMaxValue(Item*item,int n, int p,int cvs,int cws)；double frackKnapsack(Item*item,int n,double *chs)；void zeroOneKnapsack(Item*item,int n,int &fv,int &fw,int *fch)

在用户GPS接收机附近设置一个已知精度坐标的差分基准站,基准站的接收机连续接收GPS导航信号,将测得的位置或距离数据与已知的位置!距 离数据进行比较,确定误差,得出准确改正值,然后将这些改正数据通过数据链发播给覆盖区域内的用户,用以改正用户的定位结果。编程得到定位结果

#include                                     //头文件  

快速傅里叶变换， 频谱的泄露，混叠误差实例的matla程序。-Fast Fourier Transform: In order to reduce the number of DFT calculations of a fast algorithm.

数组为8位char型数值，通过该函数可以计算出数组的16位循环校验码。-Array for the 8-bit char type values can be calculated through the function of an array of 16 cycle parity-check codes.

使用栈实现括弧配对问题-use Stack bracket matching problem

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN -ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN

国密算法4的实现方法，有源代码。可借用。sm4可以用软件方法实现。也可用硬件方法实现。国密4是对称算法的一种。 和 des  3des算法相似。 方法简单易懂。