BigNumeberOperator

数据结构课上老师布置的5个小项目的源代码，分别是汽车过河，一元多项式，迷宫，日历，BFS_DFS(failed to translate)

改进爬山算法，用于风力发电机实现风能最大追踪，找到最佳叶尖速比，实现最大功率(modified hill-climbing algorithm for wind turbine with MPPT)

快速排序，用数组的存储结构，实现数的排序。共有八组随机数据，还能够计算出每组数据的处理时间，最终得到平均时间。(Quicksort array storage structure, to achieve the sort of number. A total of eight sets of random data, but also be able to calculate the processing time of each data, and eventually obtain the average time.)

POJ141的源代码，以空间换时间，速度很快很好用。(POJ141 the source code for time in space, fast easy to use.)

使用C语言完成党的霍夫曼编码，主要使用树的数据结构，作为巩固数据结构的练习(Using the C language to complete the party' s Huffman coding, the main use of the tree data structure, data structure as a consolidation exercise)

数据结构试验-打印输出计算机本科专业4年每学期的课表；C++实现；图的邻接表存储结构以及拓扑排序的基本思想(Data structure test- printout computer 4 years of undergraduate per semester timetables C++ achieve basic idea of ​ ​ the adjacency table storage structure and topological sorting)

本代码主要实现了哈希表的设计，完成了哈希函数的相关要求。(The code is designed to achieve a hash table, the completion of the relevant requirements of the hash function.)

C数据结构常用算法程序集５，描述数据结构算法。(C data structures commonly used algorithm suite 5, describe data structure algorithms.)

一款可以排序的小程序，希望大家可以看一下(A sort of small program, I hope you can look at it)

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)