huffman

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)

链表，输入一定的数据，通过链表进行储存，并排序后输出。(List。Input numbers,then output in order~~)

二叉树的链式存储、先序中序遍历和层次遍历。（构造一棵树并输入数据，编写三个函数，非别是树的前序递归遍历算法、树的后序递归遍历算法、树的非递归中序遍历算法（这里的非递归以中序为例）。在主程序中调用这三个函数进行树的遍历，观察用不同的遍历方法输出的数据的顺序和验证递归与非递归输出的数据是否一样。）(Chain store binary tree, preorder traversal and hierarchy traversal.)

说明：  斐波那契 式子计算，属于算法类的 用于VC6.0++(Fibonacci calculation formulas, algorithms are used to VC6.0++ class)

邻接表存储图，然后进行深度优先遍历及广度优先遍历。(DFS,adjacent matrix)

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.)

一个关于约瑟夫环问题的经典算法编程的C语言实现(the program about JOSEPHUS)

使用C语言建立带头结点链表实现了集合。并进行了性能上的优化。(Achieve set using C to build list witch head node. And make optimization in performance.)

算法设计的动态规划，贪心算法 操作系统的银行家算法等五个小程序(data)

数据结构中的许多东西,包括头文件、例题、习题等等(Data structure many things, including the header files, examples, exercises, etc.)