hellow4

说明：  、实验目的 1 熟练掌握各种内排序方法，深刻理解排序算法及其执行过程； 2 学会分析各种内排序算法的性能； 3 了解各种排序方法的优缺点，对于实际问题能够选择一种较好的排序方案； 4 熟练掌握图的存储结构； 5 掌握图的邻接矩阵和邻接表表示分别进行深度和广度优先搜索遍历的算法。 6 了解图的最小生成树算法。 (Proficiency in the order of search, binary search and index search basic search algorithm, these algorithms are familiar with what kind of storage structure suitable for implementation two master binary sort tree characteristics, building methods, and dynamic search algorithm 3 master hash table of characteristics and construction methods.)

说明：  数据隐私保护K-匿名问题的动态多次发布类似m-invarience算法(Data Privacy Protection K-anonymity problem on many occasions issued a similar dynamic m-invarience algorithm)

数据结构课设，城市地铁站的设计与使用规划(Set data structure class, subway station design and use of planning)

这是一个实现找出欧拉路径的的算法，比较完美的解决了欧拉算法(This is an implementation of the algorithm to find Euler path, the more perfect solution to the Euler algorithm)

给定n种物品和一背包。物品i的重量是wi>0,价值为vi>0,背包的容量为c。选择装入背包的物品，使得装入背包中物品的总价值最大。(Given n kinds of goods and a backpack. Weight of the item i is wi> 0, the value of vi> 0, knapsack capacity c. Select the items into the backpack, so into the backpack of items in the total value of the maximum.)

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)

一个经典的旅行商问题源码，不是最优解，只是一种 思路(A classic traveling salesman problem source is not the optimal solution, just a thought)

插入排序与合并排序的算法比较，比较两种算法的优劣(Comparison of insertion sort and merge)

本算法用于实现二叉树的查找和输出，使用了数据结构中的二叉树结构，精髓在于使用了函数指针。( This algorithm is used to find and implement binary output, use the data structure of the binary tree structure, the essence is the use of function pointers.)

USACO中的American heritage，用C++编写，运用了树的遍历知识(the American heritage of USACO, with C++ prepared, using a tree traversal knowledge)