paixu

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)

使用的排序算法，非常不错的思维，比较其他有较大优势(Sorting algorithm used, very good ideas, have greater advantages compared with other)

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.)

阿当姆斯显式和隐式求解方法，用四阶龙格库塔作为起始，然后运用四阶阿当姆斯算法求解初值问题。主要程序包含在test2.cpp中，方法简单易懂。编译环境VC2010(Adam James explicit and implicit method for solving fourth-order Runge-Kutta as a start, then use the fourth-order A Williams algorithm for solving initial value problem. The main program contains in test2.cpp method is simple and easy to understand. Compile environment VC2010)

此代码为折半查找算法，适用于有序表，欢迎各位下载(This code is the binary search algorithm for ordered lists )

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.)

使用非递归的方法遍历二叉树，可以直接运行。( Non-recursive binary tree traversal.)

单链表的插入。数据结构中的算法小程序。初学者很适用。(Single-linked list insertion. Data structure of algorithm applet. Beginners are applicable.)

此程序用于解决8皇后问题，运行后输出8皇后问题的所有解(This program is used to solve the 8 queens problem, all solutions of 8 queens problem output operation.)

设有一头指针为L的带有表头结点的非循环双向链表，其每个结点中除有prev（前驱指针），data（数据）和next（后继指针）域外，还有一个访问频度域freq。在链表被起用前，其值均初始化为零。每当在链表中进行一次Locate(L,x)运算时，令元素值为x的结点中freq域的值增1，并使此链表中结点保持按访问频度非增（递减）的顺序排列，同时最近访问的结点排在频度相同的结点的最后，以便使频繁访问的结点总是靠近表头。试编写符合上述要求的Locate(L,x)运算的算法，该运算为函数过程，返回找到结点的地址，类型为指针型。(Has a head pointer is non-circular doubly linked list L with a header node, each node in addition to prev (precursor pointer), data (data) and next (successor pointers) outside, there is an access frequency degree domain freq. Before the list was hired, their values are initialized to zero. Whenever carried out in the list once Locate (L, x) when the operation, so that the element node x is the value in freq domain by one, and keep this list in the node-access frequency of non-increasing (decreasing) the order, while a recent visit to the nodes in the same row of the frequency of the last node, so that the nodes are frequently accessed tables are always near the head. Locate (L, x) algorithm is prepared in accordance with the above requirements of the test operation, the operation as a function of the process, return to find the address of the node of type pointer.)