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可以实现判断二叉树是否为完全二叉树、判断两棵二叉树是否镜像对称、求一棵二叉树的一个最长枝等功能(Can determine whether the binary tree is complete binary tree to determine whether two binary mirror symmetry, one of the longest seeking a binary tree branches and other functions)

二叉树的C++实现，成员可以自己调整，实现了各种修剪此树的方法：初始化，增加节点，删去节点，复制树，读取节点，遍历树(Binary tree in C++, members can make their own adjustments to achieve a variety of pruning this tree methods: initialize, add nodes, delete nodes, copy the tree, read the node, traverse the tree)

二叉树的设计。包含二叉树结点类的设计以及二叉树的遍历。(Binary tree design. Contains the binary tree node class design, and Binary Tree Traversal.)

为了点分 求分下载好麻烦 c++二叉排序树(In order to find points dotted download good trouble c++ binary sort tree)

选择排序的实现，是一种基本的排序方法，但是时间复杂度相对较大。(Select Sort realization, is sort of a basic, but relatively large time complexity.)

C语言树的简单实现,介绍了树你前序遍历，树插入与删除节点的实现(C-tree is simple to achieve, before you introduced the tree traversal, tree insert and delete nodes to achieve)

自己用c语言写的一个模块化多电平最近电平调制排序的c程序，希望对大家有帮助(Own use c language written in a modular multi-level modulation level recently sort of c program, we hope to help)

实现栈的基本操作，建栈，进栈，出栈，数据结构实现(To achieve the basic operation of the stack, built stack into the stack, the stack data structure)

读取数据，统计所得到的文件中每个字母的权值，创建哈夫曼树，哈夫曼编码。哈夫曼解码，解码后内容写入到指定的文件。 读取数据里面的内容是由英文单词组成。读取文件的时候传入文件存放的路径、读取方式以及读出以后存放的数组，最终可以得到一个存放目标文件内容的数组。 将得到的数组进行字母权值的统计，统计每个字母出现的次数，次数即为每个字母的权值。 将得到的字符数组与权值数组作为创建哈夫曼树的依据，哈夫曼树根据每个字母权值的大小来创建，每个节点，包括权值、父节点、左子、右子和字母本身。 根据哈夫曼树进行编码。形成目标文件的哈夫曼编码，将此编码返回。 根据哈夫曼树得到的数组即为解码数组，解码数组作为解码的结果返回。 写入输出文件，将解码得到的数组、文件的完整路径以及文件的写方式作为参数传入，将数组写入到相应的文件中。 (Read the data, statistical documents obtained weights for each letter, create a Huffman tree, Huffman coding. Huffman decoding, the decoded contents are written to the specified file. Read the content inside is composed of English words. When the incoming file to read the file storage path, read mode and read out after storage array that can eventually get a storage target file contents of the array. The resulting array of letter weights statistics, statistical number of occurrences of each letter, the number is the weight of each letter. The resulting character array with the weights array as the basis for creating Huffman tree, Huffman tree based on the size of the weights of each letter to create, for each node, including weights, parent, left child, right child, and letter itself. According to Huffman coding. The formation of the target file Huffman coding, this code returns. According to Huffman decoding the resulting array is an array, the decoder decodes the result is retur)

模拟枝晶生长，在统计学常用的一种算法，对随机理论有帮助。(Simulation of dendritic growth, the statistics used an algorithm, the stochastic theory.)