erchashu

n皇后问题构造法实现，比起启发式修补运行时间较长。(n Queen realize the issue of construction method, compared to a longer run-time heuristic repair.)

迷宫问题，利用随机数自动生成迷宫，并自动进行探索。迷宫起点及终点由用户自己设定。(Maze problem, the use of random number automatically generated maze, and automatically explore. The starting point and end point of the maze is set by the user. 双语对照 )

这个代码是STRING类的声明及实现,因为我认为C++类库中的string类比较庞大,找一个函数需要很长时间,所以用一个简单明了的代替之.(STRING kind of statement and realized, because I think the C library string of relatively large, a function for a very long time. Therefore, the use of a simple and straightforward replaced it.)

双链表的定义和插入算法，双链表的定义，删除，插入和查找算法(Doubly linked list of definitions and insertion algorithm, the definition of double-linked list, delete, insert, and search algorithm)

c语言编写链式线性表的初始化，创建，插入删除等操作。(c language chained linear table is initialized, create, insert and delete operations.)

使用C语言建立带头结点链表实现了集合。并进行了性能上的优化。(Achieve set using C to build list witch head node. And make optimization in performance.)

对于给定的n个字符串，请找出一种最佳的连接方式，使得采用该连接方式得到的字符串在所有连接的结果中，字典序最小(For a given n-string, find an optimal connection, making use of the connection string to get the results in all connections, the lexicographic minimum)

实现回溯算法，能解决八皇后问题等～～算法结果优化，时间复杂度较小(Implement backtracking algorithms can solve the eight queens problem, etc. ~ ~)

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)

邻接表存储图，然后进行深度优先遍历及广度优先遍历。(DFS,adjacent matrix)