Campus-navigation-system

学数据结构自己总结的东西，希望对大家有所帮助。(Learn data structure sum things up, we want to help.)

给定m个n维向量a , a , ,am 1 2  ，向量分类问题要求将相同的向量划分为同一类。试用 抽象数据类型表设计解向量分类问题的有效算法。(Given m a n-dimensional vector a, a,, am 1 2 )

链表的模板类,提供插入删除，遍历器，查找等功能，只有一个头文件，可以包含到你的工程(template implemention of Chain)

VC游戏编写中的求解最短路径算法源码，本示例是自动寻径演示，篮点是起点，红点是终点，按确定键开始。源码爱好者注：编译后运行的时候请把EXE文件从Debug目录中拷贝到项目根目录中，若不然会出错。 (The preparation of the VC games to solve the shortest path algorithm source code, in this example is the automatic routing demonstration, the basket is the starting point, the red dot is the end point, press the OK button to start. Source enthusiasts Note: When compiled and run, please copy the EXE file from the Debug directory to the root directory of the project, and if not be wrong.)

数据结构上机操作实验的实验1，线性表的基本操作！！！(the basic operation of sq of date structure)

排序程序,包含快速排序、归并排序、谢尔排序、插入排序。输出了比较次数和移动次数。(It is a sort program, including quick sort, merge sort, shell sort and insert sort.It outputs the compare times and movement times.)

本代码主要实现了哈希表的设计，完成了哈希函数的相关要求。(The code is designed to achieve a hash table, the completion of the relevant requirements of the hash function.)

一个关于二叉树应用的小程序,包括二叉树的建立，前中后遍历等操作(a program about bintree structure)

实现链表的一些操作，方便进行遍历，查找等程序(Operation, convenient linked list traversal, the search procedure)

说明：  贪心方法是一种改进了的分级处理方法。它首先根据题意，选取一种量度标准。然后按这种量度标准对这n个输入排序，并按排序一次输入一个量。如果这个输入和当前已构成在这种量度意义下的部分最优解加在一起不能产生一个可行解，则不把此解输入加到这部分解中。这种能够得到某种度量意义下的最优解的分级处理方法称为贪心方法。(greedy method is an improvement of the classification methods. According to its first title Italy, and a selection of standards of measurement. Then, under such a standard measure of this sort n input, with an input an order volume. If the input current and constitutes a measure of significance in this part of the optimal solution together not produce a feasible solution. this solution will not put this added to the importation of decomposition. This can be a meaningful measure of the optimal solution hierarchical method, known as greedy method.)