erchashu

单向链表的创建与操作 设单向链表中节点的数据域的数据类型为整型，编写函数实现以下操作： （1）实现单向链表的创建（包括初始化）与输出操作，节点的个数及节点的数据由用户输入。 （源代码：ds3-1.c） （2）查找给定的单链表中的第i个节点，并将其地址返回。若不存在第i个节点，则返回空地址。 （源代码：ds3-2.c） （3）查找给定的单链表中值为n的节点，并将其地址返回。若不存在值为n的节点，则返回空地址。同时，还应通过参数传回该节点的序号。 （源代码：ds3-3.c） （4）删除给定的单链表中的第i个节点，成功返回1，失败返回0。 （源代码：ds3-4.c） （5）删除给定的单链表中值为n的节点，成功返回1，失败返回0。 （源代码：ds3-5.c） （6）在给定的单链表的第i位上插入值为n的节点。 （源代码：ds3-6.c） （7）在给定单链表的值为m的节点的前面插入一个值为n的节点。 （源代码：ds3-7.c） (Creation and operation of a one-way linked list Set up a one-way linked list data type node integer data fields , write a function to achieve the following: ( 1 ) achieve the creation of a one-way linked list ( including initialization ) and output operation , the number of nodes and node data entered by the user . ( Source : ds3-1.c) ( 2 ) Find a single list given in the i-th node and returns its address . Without the presence of the i-th node , returns an empty address. ( Source : ds3-2.c) ( 3 ) Find a given node in a given value of n single list , and return address . Without the presence of the value of n nodes , returns an empty address. Meanwhile, the number should be returned by the parameters of the node . ( Source : ds3-3.c) ( 4 ) Delete the given singly linked list in the i-th node , the successful return 1, else return 0 . ( Source : ds3-4.c) ( 5 ) to delete a single node in the list is given n , the successful return 1, else return 0 . ( Source : ds3-5.c) ( 6 ) )

排序，各种排序算法，插入排序，冒泡排序，快速排序，等等！(Sorting, various sorting algorithms, insertion sort, bubble sort, quick sort, and more!)

克鲁斯卡尔算法思想.cpp int seekedge(EDGE * (&a), int n) void bubble(EDGE * (&a), int size) void searchandjoin(EDGE * (&a1), int k) // a1是图边集头指针，a2是最小生成树边集的头指针，k为所要删的边 void storepicture(EDGE * (&a), int n, VERTEX *b, int m) (Thinking of Kruskal algorithm. Cpp int seekedge (EDGE* (& a), int n) void bubble (EDGE* (& a), int size) void searchandjoin (EDGE* (& a1), int k) // a1 edge set is the first pointer map, a2 is the minimum spanning tree of the first indicators margination, k for the edges to be deleted void storepicture (EDGE* (& a), int n, VERTEX* b, int m) )

X位赋0mintest是实现芯片功耗测试不确定位填充算法(X-bit chip is to achieve the power conferred 0mintest test uncertain bit stuffing algorithm)

二叉排序树，可以实现插入，删除，查找，创建功能(Binary sort tree,you can achieve the insert,delete,search,create functional)

使用VC编写的约瑟夫环程序，简单明了，方便使用(Prepared using the VC Joseph Central program, simple and clear, easy to use)

数据结构与算法综合资料库,是一本很好的学习计算机的基础教程(Data Structures and Algorithms General database, are a very good tutorial to learn basic computer)

说明：  拓扑排序 　 对一个 有向无环图 G进行拓扑排序，是将G中所有顶点排成一个线性序列，使得图中任 意一对顶点u和v，若u，v ∈E，则u在线性序列中出现在v之前。 　 通常，这样的线性序列称为满足拓扑次序的序列，简称 拓扑序列 。 注意： 　 ①若将图中顶点按拓扑次序排成一行，则图中所有的有向边均是从左指向右的。 　 ②若图中存在有向环，则不可能使顶点满足拓扑次序。 　 ③一个DAG的拓扑序列通常表示某种方案切实可行。 (Topological sort In a directed acyclic graph G topological sort, is all vertices will G formed a linear sequence, make diagram post Meaning a pair of vertex u and v, if u, v ∈ E, then u in linear sequence in which they appear in v before. Usually, such linear sequence sequence of topological order called meet, abbreviation topology sequence. Note: (1) if the diagram according to the topology order line vertices, then figure all from left to right edge are pointing. (2) if the figure to exist in the ring, is impossible to have the vertex meet topological sequence. (3) a DAG topological sequence usually expressed some scheme is feasible. )

该代码实现了深拷贝的问题，对于深拷贝进行了一系列的介绍，并且显示其与浅拷贝的区别。(A deep copy of the code issues a series of deep copy for presentation, and shows the difference between a shallow copy.)

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. )