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图的遍历的实现，文字界面，包含深度遍历和广度遍历两种情况~~(Graph traversal implementation, the text interface, including the depth and breadth traversal traverse both cases ~ ~)

说明：  a set of uestc computer academic matu

数据结构学习中提供的不错的源码，一个哈夫曼树类，利用了链队列存储结构。压缩包中有七个文件。(Data structure provided a good learning source, a Huffman tree class, the use of the chain queue storage structure. There are seven compressed file.)

说明：  一个实现外部排序的程序，其中gnerate.cpp为产生一个随机的文件，用于被排序。而caculate.cpp为外部排序程序。(A realization of the external sort program, which gnerate.cpp to generate a random file for be sorted. The caculate.cpp external sort program.)

说明：  用从c＋＋写的floyd最短路径算法，可以求邻接矩阵任意两点的最短路径。(from using c++ to write the Floyd shortest path algorithm, can help adjacency matrix arbitrary 2:00 Shortest Path.)

数据结构 二叉树的操作，可以对二叉树进行最基本的操作，先建立二叉树。(The operation of the binary tree, binary tree with the most basic operation, first create a binary tree.)

校园导游，可以选择景点序号来了解景点，通过选择两点可计算最短距离和最近路线。(Campus tour guide, you can choose the attractions serial number to understand the attractions of by selecting the shortest distance can be calculated and the recently routes.)

数据结构学习中提供的不错的源码，一个哈夫曼树类，利用了链队列存储结构。压缩包中有七个文件。(Data structure provided a good learning source, a Huffman tree class, the use of the chain queue storage structure. There are seven compressed file.)

说明：  由C程序实现的 数学上 滑雪问题 的代码实现，供大家学习用(Ski problem code for all to learn to use)

读取数据，统计所得到的文件中每个字母的权值，创建哈夫曼树，哈夫曼编码。哈夫曼解码，解码后内容写入到指定的文件。 读取数据里面的内容是由英文单词组成。读取文件的时候传入文件存放的路径、读取方式以及读出以后存放的数组，最终可以得到一个存放目标文件内容的数组。 将得到的数组进行字母权值的统计，统计每个字母出现的次数，次数即为每个字母的权值。 将得到的字符数组与权值数组作为创建哈夫曼树的依据，哈夫曼树根据每个字母权值的大小来创建，每个节点，包括权值、父节点、左子、右子和字母本身。 根据哈夫曼树进行编码。形成目标文件的哈夫曼编码，将此编码返回。 根据哈夫曼树得到的数组即为解码数组，解码数组作为解码的结果返回。 写入输出文件，将解码得到的数组、文件的完整路径以及文件的写方式作为参数传入，将数组写入到相应的文件中。 (Read the data, statistical documents obtained weights for each letter, create a Huffman tree, Huffman coding. Huffman decoding, the decoded contents are written to the specified file. Read the content inside is composed of English words. When the incoming file to read the file storage path, read mode and read out after storage array that can eventually get a storage target file contents of the array. The resulting array of letter weights statistics, statistical number of occurrences of each letter, the number is the weight of each letter. The resulting character array with the weights array as the basis for creating Huffman tree, Huffman tree based on the size of the weights of each letter to create, for each node, including weights, parent, left child, right child, and letter itself. According to Huffman coding. The formation of the target file Huffman coding, this code returns. According to Huffman decoding the resulting array is an array, the decoder decodes the result is retur)