kmp

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)

数据结构经典算法 约瑟夫问题 c++ 已经测试通过(josephus c++)

简单选择排序，这是个解决排序问题的一个算法模型之一。(Sort simple choice, this is a solution to a scheduling problem, one algorithm model.)

该ppt包含了栈和队列的数据结构及基本操作，同时还有栈的举例(This ppt contains the stack and queue data structure and basic operation, as well as examples of the stack)

设有一头指针为L的带有表头结点的非循环双向链表，其每个结点中除有prev（前驱指针），data（数据）和next（后继指针）域外，还有一个访问频度域freq。在链表被起用前，其值均初始化为零。每当在链表中进行一次Locate(L,x)运算时，令元素值为x的结点中freq域的值增1，并使此链表中结点保持按访问频度非增（递减）的顺序排列，同时最近访问的结点排在频度相同的结点的最后，以便使频繁访问的结点总是靠近表头。试编写符合上述要求的Locate(L,x)运算的算法，该运算为函数过程，返回找到结点的地址，类型为指针型。(Has a head pointer is non-circular doubly linked list L with a header node, each node in addition to prev (precursor pointer), data (data) and next (successor pointers) outside, there is an access frequency degree domain freq. Before the list was hired, their values are initialized to zero. Whenever carried out in the list once Locate (L, x) when the operation, so that the element node x is the value in freq domain by one, and keep this list in the node-access frequency of non-increasing (decreasing) the order, while a recent visit to the nodes in the same row of the frequency of the last node, so that the nodes are frequently accessed tables are always near the head. Locate (L, x) algorithm is prepared in accordance with the above requirements of the test operation, the operation as a function of the process, return to find the address of the node of type pointer.)

实现折半查找，非递归形式，从而实现数据结构所要的结果。(To achieve binary search, the non-recursive form)

利用二叉平衡树进行数据排序。这里采用的数据结构是指针。(The use of balanced binary tree sort the data. The data structure used here is a pointer.)

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 )

哈夫曼树，基本的数据结构，用来编码和解码、用数组作为存储结构实现，

本系统采用C语言编写，利用邻接链表实现最短路径问题，关键路径问题等(The system uses the C language, using adjacency list realize the shortest path problem, critical path issues)