Dijkstra

对于给定的n个字符串，请找出一种最佳的连接方式，使得采用该连接方式得到的字符串在所有连接的结果中，字典序最小(For a given n-string, find an optimal connection, making use of the connection string to get the results in all connections, the lexicographic minimum)

双链表的定义和插入算法，双链表的定义，删除，插入和查找算法(Doubly linked list of definitions and insertion algorithm, the definition of double-linked list, delete, insert, and search algorithm)

无环连通图G=(V, E)亦称为自由树T，其直径是树中所有顶点之间最短路径的最大值，设计一个算法求T的直径(Acyclic connected graph G = (V, E) is also known as free tree T, whose diameter is the tree of shortest paths between all vertices maximum design an algorithm for the diameter of T)

单链表的增删查改功能,可以实现单链表的创建、传入数据；并能实现对已有单链表的插入数据、删除数据等功能。(Single linked list of additions and deletions check change function, you can achieve the creation of a single list, incoming data insert data of existing single linked list, delete data and functions.)

用分治算法（O(nlogn)复杂度）实现寻找n个点中最邻近点对,输出为最邻近距离的平方(Looking for n points nearest point, the output of the nearest neighbor distance squared using the divide-and-conquer algorithm (O (nlogn) complexity))

编程实现Prim算法，基于最小堆数据结构，生成最小代价生成树。 （其中随机生成点和边，形成连通图） 根据输入的顶点数的不同，分析时间复杂度。(Implement Prim’s algorithms based on min-heap and disjoint set data structure for constructing a minimum cost spanning tree. Generate weighted undirected complete graph for given size n according to the following approach: 1) Randomly generate n points ( ) on a plane 2) Randomly generate k pairs of points as edges of the graph. 3) The weight of an edge of the graph is defined as the the Euclidean distance between two endpoints of the edge. )

数据结构中插入排序，堆栈排序等的用法还有希尔排序(Data structure insertion sort, stack, sort, etc. use well sorted Hill)

C语言课程设计例子，迷宫的实现，包括了需求分析，概要设计，详细设计，测试，源代码等(C language curriculum design example, the realization of the maze, including requirements analysis, preliminary design, detailed design, testing, source code, etc.)

数据结构：抽象数据类型的介绍；讲述如何构造函数和如何实现；(Data structure: the introduction of abstract data types on how to structure function and how to achieve )

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)