code

说明：  数据结构实验报告链表的操作，包括创建空链表、插入、删除节点等(Experimental Report list data structure operations, including creating an empty list, insert, delete nodes, etc.)

说明：  约瑟夫问题，四种解法，分别是静态链表，顺序表两种和循环链表(Joseph problems, the four solution, namely a static list, order form and the cycle of two lists)

使用C语言完成党的霍夫曼编码，主要使用树的数据结构，作为巩固数据结构的练习(Using the C language to complete the party' s Huffman coding, the main use of the tree data structure, data structure as a consolidation exercise)

二叉树排序，二叉树的递归调用排序，属于C语言源码(Binary Tree Sort)

迪特斯特拉算法，课程设计的作品，主要计算站点距离的吧，可以看看(Dieter Stella algorithm, distance course design work, the main computing sites can look)

一款可以排序的小程序，希望大家可以看一下(A sort of small program, I hope you can look at it)

实现迷宫搜索程序。迷宫数据从文件输入。输出迷宫路径。 a) 实现从入口到出口的输出顺序； b) 能否打印行走方向（向左、向右、向前）， 如： 1 先前 2 向右 6 向左 7； (Maze searching)

/*快速排序：以待排序元素中的第一个元素作为基准将带排序的元素分为三组 *大于基准元素为一组置于基准值的右边，小于基准值的元素为一组置于基准值的左边， *基准值为一组，这样就找到了基准元素的位置就确定了 *如此递归调用。直到每一组的low==high，即实现了排序的要求。 */ (/* Rapid Sort: the first element to be sorted in the element as a basis with with sorting the elements are divided into three groups* is greater than the reference element of a group is placed on the right side of the reference value, smaller than the reference value elements for a group of placed on the left side of the reference value,* reference value, a group, so that the location of the reference element is found it is determined* so recursive call. Until each group of low == high to achieve the requirements of the sort.* /)

数据结构：抽象数据类型的介绍；讲述如何构造函数和如何实现；(Data structure: the introduction of abstract data types on how to structure function and how to achieve )

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)