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数据结构 银行模拟问题 (Bank of simulation data structure problem)

根据所选定的字符顺序，按照从大到小的规则，对字符进行插入排序，(Insert and sort characters)

关于中国邮递员的解决办法，个人觉得还不错的说(Chinese postman)

数据结构c源代码实现，大概有100个左右，基本上将所有的数据结构都有介绍(Data structures c source code to achieve, there are about 100 or so, basically all of the data structures are described)

说明：  动态规划是用空间换时间的一种方法的抽象。(Dynamic programming is to use space in time a method of abstract.)

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)

实现约瑟夫问题的4种算法，并有计时功能进行效率测试(4 algorithms to resolve Josephus Problem with timing counter for testing efficiency)

B-树的创建、插入、删除等一系列操作！(B-tree creation, insert, delete a series of manipulations!)

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. )

数据结构算法集锦：包括大量常用算法，如求两数的最大公约数、素数的求法、Prim算法、Kruskal算法、最短路径、Dijkstra 算法、排序相关算法、高精度计算相关算法(algorithm data structure highlights include : large common algorithms, such as for the number two majors, for the prime numbers, Prim algorithm, Kruskal algorithm, the shortest path, the Dijkstra algorithm, scheduling algorithms, high-precision calculation algorithms, etc.)