Huffman树实现_详细注释 

  1 //最优二叉树
  2 #include <iostream>
  3 #include <iomanip>
  4 using namespace std;
  5 
  6 //定义结点类型
  7 //【weight | lchid | rchild | parent】 
  8 //为了判定一个结点是否已加入到要建立的哈夫曼树中
  9 //可通过parent域的值来确定.
 10 //初始时parent = -1，当结点加入到树中时，该结点parent的值
 11 //为其父亲结点在数组Huffman中的序号. 
 12 template<typename T>
 13 struct HuffNode {
 14     T weight;             //权值
 15     int parent;           //指向父节点的指针域(结点元素的下标)
 16     int lch;              //左指针域
 17     int rch;              //右指针域 
 18 }; 
 19 
 20 //哈夫曼树的构造算法 
 21 template<typename T>
 22 HuffNode<T> *HuffmanTree(int n, const T& sign)     //生成最优二叉树
 23 {
 24     const int MAX_VALUE = 100000;
 25     int i, j, min1, min2, x1, x2;                  //min1为最小值, min2为次小值, x1位最小值下标, x2位次小值下标 
 26     HuffNode<T> *ht = new HuffNode<T>[2 * n - 1];  //一个含有n个叶子结点的最优二叉树，总共有2*n-1个结点
 27     HuffNode<T> *huffNode = ht;
 28     for (i = 0; i < 2 * n - 1; i++)                //最优二叉树结点数组初始化 
 29     {
 30         huffNode[i].weight = 0;         //权值都设为0
 31         huffNode[i].parent = -1;        //父节点，左右孩子结点 
 32         huffNode[i].lch = -1;
 33         huffNode[i].rch = -1;           //都设置为-1,-1代表空 
 34     } 
 35     for (i = 0; i < n; i++)         //依次输入n个叶子结点的权值 
 36         cin >> huffNode[i].weight;
 37     
 38     for (i = 0; i < n - 1; i++)
 39     { 
 40         min1 = min2 = MAX_VALUE;     
 41         // x1, x2 用来保存找到的两个最小结点在数组中的位置 
 42         x1 = x2 = 0;  
 43         for (j = 0; j < n + i; j++) //因为外循环每循环一次，实际结点个数增加到n+i个 
 44         {
 45             if (huffNode[j].weight < min1 && huffNode[j].parent == -1)
 46             {
 47                 min2 = min1;                    //存在权值小于min1, 则min1赋值给次小值 
 48                 x2 = x1;                        //次小值下标改变 
 49                  min1 = huffNode[j].weight;      //当前权值赋值给最小值 
 50                 x1 = j;                         //并保存最小值下标 
 51             }
 52             else if (huffNode[j].weight < min2 && huffNode[j].parent == -1)
 53             {
 54                 min2 = huffNode[j].weight;      //当前值赋值给次小值 
 55                 x2 = j;                         //保存次小值下标 
 56             }
 57         }
 58         //将找出的两个子树合并成一颗子树
 59         //对找到的两个最小结点的父指针域进行赋值 
 60         huffNode[x1].parent = n + i;    
 61         huffNode[x2].parent = n + i;
 62         //新合成树位置上的权值 
 63         huffNode[n + i].weight = huffNode[x1].weight + huffNode[x2].weight; 
 64         //两个最小结点的父结点的左右孩子域进行操作 
 65         huffNode[n + i].lch = x1;
 66         huffNode[n + i].rch = x2;        
 67     }
 68     return ht;
 69 } 
 70 
 71 template<typename T>
 72 void ShowHTree(HuffNode<T> *HT, int nodeNum)
 73 {
 74     HuffNode<T> *p = HT;
 75     int k;    
 76     cout << "k" << "\t\t" << "Weight" << "\t\t" << "Parent" 
 77          << "\t\t" << "Lchild" << "\t\t" << "Rchild" << endl;
 78     for (k = 0; k < 2 * nodeNum - 1; k++)
 79     {
 80         cout << k << "\t\t" << (p + k)->weight << "\t\t"
 81              << (p + k)->parent << "\t\t" 
 82              << (p + k)->lch << "\t\t" << (p + k)->rch << endl;
 83     }
 84 } 
 85 
 86 int main()
 87 {
 88     int n;
 89     HuffNode<int> *huffNode;
 90     int sign = 0;           //标志为权值的类型 
 91     
 92     cout << "请输入叶子结点个数: " << endl;
 93     cin >> n;
 94     huffNode = HuffmanTree(n, sign);
 95     ShowHTree(huffNode, n);
 96     
 97     system("pause");
 98     
 99     return 0;
100 }

 

posted @ 2016-11-01 16:31  douzujun  阅读(649)  评论(0)    收藏  举报