Anorldi

选择型结构c语言编程 (Choose the type of structure of C language programming)

数据结构中图的遍历Data structure traversal of center(Data structure traversal of center)

这个是数据结构课程设计中阿黄的CD的程序代码的工程文件包(This is a data structure curriculum design A yellow CD program code works package)

这是BFS算法的实现。用C语言实现的。好好学习吧。(This is achieved BFS algorithm. Implemented using C language. Learn it.)

This is a C++ code. It finds out if the tree is a binary search tree (BST)or not, where the BST is one of data structures types.

数据结构与算法分析的 C++检索代码，很经典(the code of Data structure)

本代码是通过C语言来实现贪心算法求着色问题,包括具体问题和实现代码(This code is the C language to implement the greedy algorithm for the coloring problem, including specific issues and the implementation code)

数据结构学习中提供的不错的源码，一个哈夫曼树类，利用了链队列存储结构。压缩包中有七个文件。(Data structure provided a good learning source, a Huffman tree class, the use of the chain queue storage structure. There are seven compressed file.)

使用三叉链表实现的哈夫曼树,统计inputfile1.txt中各字符的出现频率，并据此构造Huffman树，编制Huffman 码；根据已经得到的编码，对01形式的编码段进行译码。 具体的要求： 1．将给定字符文件编码，生成编码，输出每个字符出现的次数和编码； 2．将给定编码文件译码，生成字符，输出编码及其对应字符。 (Emergence of the frequency of each character in the trigeminal lists using the Huffman tree, statistics inputfile1.txt, and accordingly the Huffman tree structure, preparation of Huffman code according to the coding has been. 01 to form the code segment for decoding. Specific requirements: 1 coding the given character file, generating the encoding, and outputting the number and encoding of each character 2 will be given the encoding file decoding, generating the character, the output code and its corresponding character.)

建立试题库文件，随机产生n个题目； 题目涉及加减乘除，带括弧的混合运算； 利用栈求解表达式的值； 随时可以退出； 保留历史分数，能回顾历史，给出与历史分数比较后的评价( The establishment of test database file, the subject of n randomly generated topics related to addition, subtraction, mixed operations with parentheses use the value of the expression stack solution ready to quit to preserve the historical scores, can look back at history, and history gives the comparison of scores Evaluation 保留历史分数，能回顾历史，给出与历史分数比较后的评价)