1064. Complete Binary Search Tree (30)
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.
A Complete Binary Tree (CBT) is a tree that is completely filled, with the possible exception of the bottom level, which is filled from left to right.
Now given a sequence of distinct non-negative integer keys, a unique BST can be constructed if it is required that the tree must also be a CBT. You are supposed to output the level order traversal sequence of this BST.
Input Specification:
Each input file contains one test case. For each case, the first line contains a positive integer N (<=1000). Then N distinct non-negative integer keys are given in the next line. All the numbers in a line are separated by a space and are no greater than 2000.
Output Specification:
For each test case, print in one line the level order traversal sequence of the corresponding complete binary search tree. All the numbers in a line must be separated by a space, and there must be no extra space at the end of the line.
Sample Input:10 1 2 3 4 5 6 7 8 9 0Sample Output:
6 3 8 1 5 7 9 0 2 4
#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <algorithm>
#include <vector>
#include <queue>
#include <stack>
#include <string>
#include <cstring>
using namespace std;
int N;
queue<int> q1;
void A(int i)
{
if(i>N)
return;
A(i*2);
q1.push(i);
A(i*2+1);
}
int main()
{
freopen("in.txt","r",stdin);
cin>>N;
int tN=N;
vector<int> a;
a.push_back(-999);
while(tN--)
{
int t1;
cin>>t1;
a.push_back(t1);
}
sort(a.begin(),a.end());
int tree[N+5];
int k=1;
A(1);
while(!q1.empty())
{
int t2=q1.front();
tree[t2]=a[k];
k++;
q1.pop();
}
int i;
printf("%d",tree[1]);
for(i=2;i<=N;i++)
{
printf(" %d",tree[i]);
}
return 0;
}
本文介绍了一种构建完全二叉搜索树的方法,并给出了相应的输入输出规范及示例。通过递归构建并进行层次遍历输出,确保了树的完整性和搜索特性。
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