PrintTheSchedule_DataStructure_Lab4

数据结构 堆栈 实现了以下功能： cout<<"----------------主菜单---------------"<<endl <<"* 1.建立 *"<<endl <<"* 2.输出 *"<<endl <<"* 3.判断栈是否为空 *"<<endl <<"* 4.栈的长度 *"<<endl <<"* 5.输出栈顶元素 *"<<endl <<"* 6.进栈 *"<<endl <<"* 7.出栈 *"<<endl <<"* 8.遍历 *"<<endl <<"* 9.数制转换 *"<<endl <<"* 10.清空 *"<<endl <<"* 11.销毁 *"<<endl <<"* 12.退出 *"<<endl <<"--------------------------------------"<<endl<<endl (data structure stack)

A*算法通过启发式探索下一结点，逐步逼近目标结点，且使得路径最短。(A* algorithm heuristic to explore the next node, and gradually approaching the target node, and that the shortest path.)

用不多于四种颜色为地图染色，使相邻的行政区不重色，是计算机科学中著名的“四染色”的典型应用，应用这个思想，是以回溯的算法对一幅给定的地图染色。是对数据结构中栈的应用。(With no more than four colors map staining the adjacent borough is not heavy color, typical applications of computer science "stain" the application of this idea, a backtracking algorithm on a given mapstaining. The application of the stack data structure.)

采用Kruskal算法求最小生成树主要数据结构 edgeset GE 存放图中的所有边 int n,int e 存放图中的顶点数与边数 edgeset C 存放生成树中的边 vexlist gv 图中结点的顶点值 adjmatrix s 用来处理图中结点的查找与合并 int m1,m2 一条边上两顶点所属集合的序号 int k 最小生成树中的边数 int d //图中待扫描边元素的下标(For the Minimum Spanning Tree by Kruskal main data structures edgeset GE store all edges in the figure int n, int e store graph vertices and edges edgeset C storage spanning tree edges in the vexlist gv graph node vertex values ​ ​ adjmatrix s used to process graph node to find and merge int m1, m2 an edge belongs to the set number two vertices int k minimum spanning tree edges int d // figure to be Scan edge element subscript)

哈夫曼树，基本的数据结构，用来编码和解码、用数组作为存储结构实现，

说明：  四路归并排序，将原有的二路归并排序改编的四路归并排序(The four-way merge sort to the original way merge sort adaptation of the four-way merge sort)

一个苹果走迷宫，支持最短路径寻路。可以使用方向键操作，也可以用户自己添加迷宫格式文件，生成迷宫图。(Apple Maze, shortest path routing. Can use the arrow keys to operate, the user can add their own maze format generated maze.)

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)

说明：  ACM及各类基本算法模板，包括数据结构，计算几何，字符串，图论，数学，高精度等许多常用模板(ACM basic algorithm and various templates, including data structures, computational geometry, string, graph theory, mathematics, high-precision, and many other commonly used templates)

这是一个二叉树的工程文件，包括了工程文件里的所有文件。以及二叉树的构建，traverse，搜索等功能函数。(This file contains a summary of what you will find in each of the files that make up your bTree application. )