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.
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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.

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 N-1, 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
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#include <iostream>
#include <cstdio>
#include <algorithm>
#include <map>
#include <queue>
#include <vector>
using namespace std;
const int maxn = 110;
int tree[maxn][2];
int node[maxn];
map<int, int> m;
vector<int> v;
queue<int> Q;
void dfs(int x)
{
if(tree[x][0] != -1)
dfs(tree[x][0]);
v.push_back(x);
if(tree[x][1] != -1)
dfs(tree[x][1]);
return;
}
void bfs(int x)
{
int root;
while(true){
if(tree[x][0] != -1)
Q.push(tree[x][0]);
if(tree[x][1] != -1)
Q.push(tree[x][1]);
root = Q.front();
printf("%d", m[root]);
Q.pop();
if(Q.empty())
break;
else{
printf(" ");
x = Q.front();
}
}
}
int main()
{
int n;
scanf("%d", &n);
for(int i = 0; i < n; i++)
scanf("%d %d", &tree[i][0], &tree[i][1]);
for(int i = 0; i < n; i++)
scanf("%d", &node[i]);
sort(node, node + n);
dfs(0);
for(int i = 0; i < n; i++)
m[v[i]] = node[i];
Q.push(0);
bfs(0);
return 0;
}
本文介绍了一种特定的二叉搜索树(BST)构造方法,通过给定的二叉树结构和一系列整数键值,实现唯一确定一棵BST,并通过层级遍历输出节点值。文章详细阐述了BST的定义、输入输出规格及示例。
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