• 1099 Build A Binary Search Tree (30 分)


    1099 Build A Binary Search Tree (30 分)

    A Binary Search Tree (BST) is recursively defined as a binary tree which has the following properties:

    • The left subtree of a node contains only nodes with keys less than the node's key.
    • The right subtree of a node contains only nodes with keys greater than or equal to the node's key.
    • Both the left and right subtrees must also be binary search trees.

    Given the structure of a binary tree and a sequence of distinct integer keys, there is only one way to fill these keys into the tree so that the resulting tree satisfies the definition of a BST. You are supposed to output the level order traversal sequence of that tree. The sample is illustrated by Figure 1 and 2.

    figBST.jpg

    Input Specification:

    Each input file contains one test case. For each case, the first line gives a positive integer N (100) which is the total number of nodes in the tree. The next N lines each contains the left and the right children of a node in the format left_index right_index, provided that the nodes are numbered from 0 to N1, and 0 is always the root. If one child is missing, then 1 will represent the NULL child pointer. Finally N distinct integer keys are given in the last line.

    Output Specification:

    For each test case, print in one line the level order traversal sequence of that tree. All the numbers must be separated by a space, with no extra space at the end of the line.

    Sample Input:

    9
    1 6
    2 3
    -1 -1
    -1 4
    5 -1
    -1 -1
    7 -1
    -1 8
    -1 -1
    73 45 11 58 82 25 67 38 42
    

    Sample Output:

    58 25 82 11 38 67 45 73 42

    思路:
      这个题目要求输出二叉搜索树的层序遍历。我的思路是先建树,然后层次遍历即可。怎么建立一颗二叉搜索树呢?根据二叉搜索树的中序
    遍历结果是有序的,所以进行中序遍历建立二叉树。题目中的输入告诉了我们二叉树的形状(每个结点的左右子女索引值都告诉我们了),所以
    只需要对最后的一个key值序列进行排序,然后中序遍历赋值即可。
    #include<iostream>
    #include<vector>
    #include<algorithm>
    #include<queue>
    #include<string>
    #include<map>
    #include<set>
    using namespace std;
    int tree[101];
    //对树进行深度遍历
    struct Node
    {
        int data;
        int lchild;
        int rchild;
    };
    int k=0;
    void inOrder(Node node[],int key[],int i)
    {
        if(i!=-1)
        {
            inOrder(node,key,node[i].lchild);
            node[i].data=key[k++];
            inOrder(node,key,node[i].rchild);
        }
    }
    vector<int> print;
    void level(Node node[])
    {
        queue<int> q;
        q.push(0);
        while(!q.empty())
        {
            int temp=q.front();
            q.pop();
            print.push_back(node[temp].data);
            if(node[temp].lchild!=-1)
                q.push(node[temp].lchild);
            if(node[temp].rchild!=-1)
                q.push(node[temp].rchild);
        }
    }
    
    
    
    int main()
    {
        int n;
        cin>>n;
        Node node[n];
        for(int i=0;i<n;i++)
        {
            cin>>node[i].lchild>>node[i].rchild;
        }
        int key[n];
        for(int i=0;i<n;i++)
            cin>>key[i];
        sort(key,key+n);
        inOrder(node,key,0);
        level(node);
        cout<<print[0];
        for(int i=1;i<print.size();i++)
            cout<<" "<<print[i];
        return 0;
    }
     
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  • 原文地址:https://www.cnblogs.com/zhanghaijie/p/10303494.html
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