delphi7 的 mydac 数据库组件

利用栈和队列完成停车场的管理,数据结构的实习题目,并完成选做内容-use stack and queue complete parking management, and data structure of the internship topics, and complete the election to content

Addison-Velski 和 Landis (AVL-Tree s)的二叉树，可以在对数时间内进行标准的操作，如插入、搜索和删除。-Addison-Velski and Landis (AVL- Tree s) of the binary tree, the right time for a few of the standard operation, such as insert, delete and search.

《数据结构与算法》讲义，第1章 概论。 “十一五”国家级规划教材。张铭，王腾蛟，赵海燕，《数据结构与算法》，高教社，2008. 6。 -Chap1 Overview

vb多媒体数据库例子-vb examples of multimedia database

本系统是一简单的物资管理系统，能够实现物资的基本信息，入库信息，出库信息，借用情况的管理等功能，适合初学者下载-The system is a simple material management system, able to realize the basic material of information, storage information, a database of information, loan management and other functions, suitable for beginners to download

数据结构――家谱的实现 本人的课程设计 MFC-data structure-- I literally achieve the curriculum design MFC

最小生成树问题 若要在n个城市之间建设通信网络，只需要架设n-1条线路即可。如何以最低的经济代价建设这个通信网，是一个网的最小生成树问题。 （1）利用克鲁斯卡尔算法求网的最小生成树。 （2）实现教科书6.5节中定义的抽象树类型 MFSet。以此表示构造生成树过程中的连通分量。 （3）以文本形式输出生成树中各条边以及他们的权值。 -minimum spanning tree problem to the n-city building communications networks needed to put up only n-1 lines can be. How the lowest economic cost of building the communications network, the network is a minimum spanning tree problem. (1) using Kelushikaer network algorithm for the minimum spanning tree. (2) to achieve 6.5 textbook definition of the abstract tree types MFSet. Spanning Tree Construction said this process of connectivity components. (3) the form of text output spanning trees and the edge of their weights.

数据结构：二叉树-data structure : Binary Tree

哈弗曼编码器，含有完整源码。文件的输入与输出。-Havermann encoder, includes full source code. File input and output.

哈夫曼树算法 根据给定的n个权值{w1,w2,……wn}，构造n棵只有根结点的二叉树，令起权值为wj 在森林中选取两棵根结点权值最小的树作左右子树，构造一棵新的二叉树，置新二叉树根结点权值为其左右子树根结点权值之和 在森林中删除这两棵树，同时将新得到的二叉树加入森林中 重复上述两步，直到只含一棵树为止，这棵树即哈夫曼树 -Huffman tree algorithm based on a given n-weights (w1, w2, ... ... wn), construct n trees only a root node of the tree, so that from the right value of wj in the forest root node to select two the right tree for the value of the smallest subtree around, a new binary tree structure, the right to buy a new tree root node value of its subtree root node around the right value in the forest and delete these two trees, At the same time, the new binary tree obtained by adding the forest to repeat the above two steps until a tree containing only the date, that is, Huffman tree tree