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  • PAT甲级——A1099 Build A Binary Search Tree

    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 (≤) 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 − 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
    
     1 #include <iostream>
     2 #include <queue>
     3 #include <vector>
     4 #include <algorithm>
     5 using namespace std;
     6 struct Node
     7 {
     8     int val, l, r;
     9 }node[105];
    10 vector<int>nums(105), levelOrder;
    11 int N, k = 0;
    12 void inOrderTravel(int root)//得到树的中序遍历
    13 {
    14     if (root == -1)
    15         return;
    16     inOrderTravel(node[root].l);
    17     node[root].val = nums[k++];
    18     inOrderTravel(node[root].r);
    19 }
    20 void levelOrderTravel(int root)//得到树的中序遍历
    21 {
    22     queue<int>q;
    23     q.push(root);
    24     while (!q.empty())
    25     {
    26         root = q.front();
    27         q.pop();
    28         levelOrder.push_back(node[root].val);
    29         if (node[root].l != -1)
    30             q.push(node[root].l);
    31         if (node[root].r != -1)
    32             q.push(node[root].r);
    33     }
    34 }
    35 int main()
    36 {
    37     cin >> N;    
    38     int l, r;
    39     int root = 0;
    40     for (int i = 0; i < N; ++i)//按题目意思使用前序遍历构建一棵树
    41     {
    42         cin >> l >> r;
    43         node[i].l = l;
    44         node[i].r = r;
    45     }
    46     for (int i = 0; i < N; ++i)
    47         cin >> nums[i];
    48     sort(nums.begin(), nums.begin() + N);//得到中序遍历
    49     inOrderTravel(root);//通过中序遍历重构二叉树
    50     levelOrderTravel(root);
    51     for (int i = 0; i < N; ++i)
    52         cout << levelOrder[i] << (i == N - 1 ? "" : " ");
    53     return 0;
    54 }
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  • 原文地址:https://www.cnblogs.com/zzw1024/p/11362418.html
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