mifeng

一．问题描述 对2006年度全国80多个城市的每天空气质量状况进行查询、排序等操作。 空气质量状况对象包括城市代码、城市名称、首要污染物、污染指数、污染物级别、空气状况、年、月、日 二、实验要求 1． 普通查询：输入城市名称和城市代码，分别查询该城市每天、每周、每月、每季度和全年的空气质量状况 例子：查询太原市2006年第8周的空气质量状况 2．统计查询： （1）输入城市名称和城市代码，分别查询该城市每周、每月、每季度和全年的空气质量为优、良、轻微污染、轻度污染、重污染的天数 例子：查询石家庄市2006年第2季度空气质量为轻微污染的总天数 （2）根据时间查询空气质量状况：输入周编号、月编号、季度编号或年编号，以及空气质量为优、良、轻微污染、轻度污染、重污染的天数，查找相应的城市名称 例子：查询2006年5月，空气被轻度污染3天以上的城市有哪些？ 3．排序查询 （1）输入周编号、月编号、季度编号或年编号，查询城市空气质量的排行榜 例子：查询2006年第6周，全国空气平均质量最好的前20个城市为哪些？ 三、数据文件 Data.txt(one. Problem Description of the air quality day in 2006 more than 80 cities nationwide query, sorting and other operations. Air Quality objects include city code, city name, the primary pollutant, pollution index, contaminant level, air condition, year, month, day two, experimental requirements 1. General Queries: Enter a city name and city codes, each query in the city daily, weekly, monthly, quarterly example air quality and full year: Queries air quality in Taiyuan first eight weeks of 2006 2. Statistical inquiry: (1) enter a city name and city codes, each query in the city weekly, monthly, quarterly and annual air quality as excellent, good, slight pollution, light pollution, heavy pollution days example: inquiry Shijiazhuang City in 2006 second quarter, the air quality is the total number of days a slight pollution (2) according to time of the query air quality conditions: enter the week number, month number, quarter number or in number, and the air quality is excellent, good, sli)

本程序实现一元多项式合并。本程序输入方式为按项输入，每输入一个项，会先提示输入项的幂，再提示输入项的系数。(This procedure combined to achieve a dollar polynomial. This procedure according to entry input methods for the input, one for each input item, it will first prompt entry of the power, and then prompts entry of the coefficient.)

最短路径算法。 用无向带全图的邻接矩阵存储图，确定从源点出发到其它各点的最短路径。 输入：图中包含的顶点数n 边数m， 各边权值，用邻接矩阵或者邻接表存储。 输出：源点到其它各点的最短路径值。(Shortest path algorithm. Adjacency matrix storage with undirected graph with a full figure, determine the starting point of the shortest path from the source point of each other. Input: Vertices figure included n the number of edges m, the weight of each side, with the adjacency matrix or adjacency table storage. Output: source shortest path to value each other points.)

根据所选定的字符顺序，按照从大到小的规则，对字符进行插入排序，(Insert and sort characters)

冒泡优化： 如果一个序列是int n[]={1,2,3,4,5,6,7,8,9} , 用正常的冒泡排序需要排8次才行，优化之后1次就好，也就是说序列越接近于正常序列，改进之后的冒泡排序的次数就越少，这样会给一个冒泡排序算法带了很大的效率。 思想：添加一个boolean变量用来判断冒泡是否是已经排好了顺序，如果boolean的值为false，说明是已经排好了，如果boolean的值true，说明没有排好，继续排。(If a sequence is int n [] = {, 1,2,3,4,5,6,7,8,9} need to row 8 times the job after optimization times like normal bubble sort, but alsomeans that the sequence is more close to the normal sequence, improved bubble sort, the less the number, which would give a bubble sort algorithm with a great deal of efficiency. Idea: add a boolean variable used to determine the bubble whether it is already lined up the order, if the boolean is false, indicating already lined up, if the boolean value of true, did not line up, continue to row.)

假设要在足够多的会场里安排一批活动，并希望使用尽可能少的会场。设计一个有效的贪心算法进行安排。（这个问题实际上是著名的图着色问题。若将每一个活动作为图的一个顶点，不相容活动间用边相连。使相邻顶点着有不同颜色的最小着色数，相应于要找的最小会场数。） 对于给定的k 个待安排的活动，编程计算使用最少会场的时间表。 (Suppose you want to arrange a number of activities in the hall more than enough, and want to use as little as possible venue. Design an effective greedy algorithm arrangements. (This problem is actually well-known graph coloring problem. If each activity as a vertex map, with the side connected between incompatible activities. Makes coloring adjacent vertices with minimum number of different colors, corresponding to looking The minimum number of venue.) K to be arranged for a given activity, calculated using a minimum of venue programming schedule.)

数据结构计算算术表达式算法，可以计算小数点及较复杂的运算表达式(Data structure algorithms calculate arithmetic expression, we can calculate the decimal point and more complex operations expression)

二叉树的链式存储、先序中序遍历和层次遍历。（构造一棵树并输入数据，编写三个函数，非别是树的前序递归遍历算法、树的后序递归遍历算法、树的非递归中序遍历算法（这里的非递归以中序为例）。在主程序中调用这三个函数进行树的遍历，观察用不同的遍历方法输出的数据的顺序和验证递归与非递归输出的数据是否一样。）(Chain store binary tree, preorder traversal and hierarchy traversal.)

数据结构课程设计时，所需的封面及任务书版面，希望对大家有点用！(Curriculum design data structure, the necessary task of the book cover and layout, in the hope that we are a bit used!)

平衡二叉树操作，可以输入数字形成二叉树，可以进行添加、删除操作(Balanced binary tree operation, you can enter numbers to form a binary tree, the user can add, delete)