大数相乘的源代码,使用C++在VC环境中实现.

本程序演示了如何使用编辑器在运行期设置表格的一些常用参数 需要使用到Ehlib控件,最好使用3.6版本,旧版本也适用! 使用前请双击本目录下的DB.UDL连接数据库,连接完成后即可选择数据表进行演示! 在表格上按右键,即可出现功能菜单,点击进入! 程序应该适用于各版本的DELPHI,但由于条件有限未做测试!-This procedure demonstrates how to use the editor in the run-time set up tables need to use some common parameters to Ehlib control, it is best to use 3.6 version, also applies to older versions! Before use double-click the catalog under DB.UDL connect to database, connectivity be able to choose after the completion of data table demo! Right-click in the table can function menu appears, click to enter! procedure should be applicable to all versions of DELPHI, but due to limited testing done!

merge sort give a set S of n integers and another integer x, determine whether or not there exits two elements in S whose sum is exactly x.-merge sort give a set of S n integers and anot her integer x, determine whether or not there exits two elemen ts in S whose sum is exactly x.

超市或杂货店，自助服务商店提供种类繁多的食品和家用商品，组织到各部门。

数据结构的源程序约瑟夫环和最短路径-data structure of the source Josephus and the shortest path

Visual Basic.NET数据库开发实例，里面包含一些典型的案例和源码-Visual Basic.NET example of database development, which contains some typical cases and the source

《数据结构》清华大学的，蓝皮（c语言篇）65页 模拟银行业务，计算客户平均逗留时间-"data structure," Tsinghua University, the Blue Paper (c Language) 65 simulation banking, calculate the average length of stay customers

编写了一个关于图的操作的应用程序，可以自己手动输入图的节点和节点的关系，然后可以进行查找节点，求节点的出度和入度，求最短的路径等-Prepared a map of the operation on the application, you can manually enter their own graph of the relationship between nodes and nodes, and then can search the node, and the out-degree and node-degree, and the shortest path, etc.

快速排序的非递归算法,具有高效的特点，快速排序 -the nonrecursive code of quicksort

实现构造哈夫曼树的哈夫曼算法。 求解出所构造的哈夫曼 使用树的带权路径长度。 -Huffman tree structure to achieve the Huffman algorithm. Solving the structure of the Huffman tree with the right to use the path length.

比较六种排序算法，其中包括快速排序，冒泡排序等内容的速度以及空间复杂度。-Comparison of the six sorting algorithms, including quicksort, bubble sort etc. the speed and space complexity.