Dynamic-Memory-Allocation

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~~)

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)

克鲁斯卡尔算法思想.cpp int seekedge(EDGE * (&a), int n) void bubble(EDGE * (&a), int size) void searchandjoin(EDGE * (&a1), int k) // a1是图边集头指针，a2是最小生成树边集的头指针，k为所要删的边 void storepicture(EDGE * (&a), int n, VERTEX *b, int m) (Thinking of Kruskal algorithm. Cpp int seekedge (EDGE* (& a), int n) void bubble (EDGE* (& a), int size) void searchandjoin (EDGE* (& a1), int k) // a1 edge set is the first pointer map, a2 is the minimum spanning tree of the first indicators margination, k for the edges to be deleted void storepicture (EDGE* (& a), int n, VERTEX* b, int m) )

二叉树的先序遍历。采用递归实现。释放资源时用了后序遍历。(Preorder traversal of a binary tree. Recursive implementation. Release resources used after preorder.)

用c++实现的haffman tree 小程序，仅供参考 。 (The the haffman tree applet realized with c++ for reference only.)

一个经典的旅行商问题源码，不是最优解，只是一种 思路(A classic traveling salesman problem source is not the optimal solution, just a thought)

平衡二叉树操作，可以输入数字形成二叉树，可以进行添加、删除操作(Balanced binary tree operation, you can enter numbers to form a binary tree, the user can add, delete)

根据最常用的链表法进行huffman编码，可以手工预制权重，例如n=8的时候即可以在文件中写入，输出相应的编码结果(According to the most commonly used method of Chain Huffman coding, manual can be prefabricated weight, For example, n = 8 when it is written in the document, the output corresponding to the coding results)

霍夫曼编码实验报告，内含源代码，编码原理 (Huffman coding lab report, containing the source code, coding theory)

n皇后问题构造法实现，比起启发式修补运行时间较长。(n Queen realize the issue of construction method, compared to a longer run-time heuristic repair.)