傅里叶变换，超语言的源码，挺好的

用元素分配法求解0-1整数规划问题，比匈牙利法简单且易实现，该算法已通过实例验证-elemental distribution method 0-1 integer programming problems than Hungary and France is simple to implement, The algorithm has been verified by examples

kmeans algorthms code vb and test data

并行计算两个矩阵相乘。这个算法是原创的。可以很快实现大型矩阵的相乘。-this is a MPI program that can accompish qucik computation of multiply of two large matrix by parall computation

离散数学经典的算法-Discrete Mathematics classical algorithm

C语言库函数.rar-C language library functions. Rar

C#编写的Guass消去法-C# prepared by the Gauss elimination method

1．简介 本程序是用C语言编的一个基于命令行的文件合并分割器。主要用于分割和合并文件，可以按大小分或者按个数等分。支持分割和合并的批处理。其中命令行以及批处理语句有一定的规则，需要用户学习后才能熟练使用。 2．功能  能够实现多个文件的合并功能  能够实现同一目录下的所有文件或所有具有相同属性(同后缀)的文件，按照文件名的顺序合并  能够实现对于一个文件的分割功能，可以按照两种要求进行分割：第一，按照用户给出的分割个数；第二，按照用户给出的每个文件大小  支持文件合并与分割功能的批处理-1. Introduction This procedure is used C language based on a series of the command line in the paper division for the merger. Mainly for segmentation and merger documents, in accordance with the size of sub-sub or by number. Support split and merger of the batch. These command line and batch statements to certain rules, requiring the user to learn the use of skilled before. 2. Function# 61548 can be achieved by merging multiple files functional# 61,548 to achieve the same directory of all documents or all of the same attributes (with extensions) of the document, according to documents from the merger order to achieve# 61,548 for a separate function of the document, according to two separate requirements : First, the

我自己在C++上实现线性反馈移位登记，以便生成一个伪随机数序列。所有号码都应保存在OUTLFSR.txt文件. 此代码可用于生成具有不同寄存器大小和不同参数的LFSR。

想研究透彻正则表达式，必须知道有穷自动机的原理，这个源码可以给你一个很好的示例参考。编译后程序会生成一个可执行文件，运行这个文件出来一个DOS窗口，然后按提示输入正则表达式。-Wish to research thoroughly regular expressions, you must know the finite automata theory, this source can give you a good example for reference. The compiled program generates an executable file, run this file out of a DOS window, and then enter the regular expression and follow the prompts.

设计出一个算法，贪吃蛇小游戏怎么做出来的，利用C++语言编写，代码简单，很容易看懂，function [p,ff] = oct3bank(noi);  pi = 3.14159265358979;  Fs = 500000;    %1/(t(2)-t(1));     % Sampling Frequency N = 3;      % Order of analysis filters.  %f=[1.00 1.25 1.60 2.00 2.50 3.15 4.00 5.00 6.300 8.00] ff=[20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000 12500 16000] %ff = ((2^(1/3)).^[0:19]);  % Exact center freq.   p = zeros(1,30); % Design filters and compute RMS powers in 1/3-oct. bands