Data-structure-diagram

一个很经典的问题_八数码! 算法速度快,解决问题多...有兴趣的可以(A very classic problem _ eight digital! Fast algorithm to solve the problem ... are interested in more than can be)

希尔排序c++数据结构算法 二分查找的递归算法(希尔排序c++数据结构算法 二分查找的递归算法 )

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)

最优二叉搜索树问题具有最优子结构性质，即其任意一棵子树都是一棵独立的最优二叉搜索树，所以可以采用动态规划方法，并且在每次更新时保存子树的根。(Optimal binary search tree problem has optimal substructure property that any of its sub-tree are an independent optimal binary search tree, so you can use dynamic programming methods, and save each update subtree roots.)

数据结构，关键路径问题，设计并实现关键路径的一种应用，采用图的算法(Data structure, critical path problem, using graph algorithm)

快速排序，用数组的存储结构，实现数的排序。共有八组随机数据，还能够计算出每组数据的处理时间，最终得到平均时间。(Quicksort array storage structure, to achieve the sort of number. A total of eight sets of random data, but also be able to calculate the processing time of each data, and eventually obtain the average time.)

演示进程调度算法 使用的链表 包涵7个功能 4个算法(Process Scheduling Algorithm Demo )

数据结构与程序设计中的重点例子程序：八皇后问题(Data structure and procedures of the focus of the design example of the procedure: eight queen problem)

这半查找法 是一种快速查找算法 查找效率比较高 容易实现 理想的查找算法(This search method is a fast and find more efficient algorithms to find easy to implement the ideal search algorithm)

有助于c++的初学者在平日的学习中更好的学习(Contribute to better learning c++ beginners learning on weekdays)