標籤:
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:
101 2 3 4 5 6 7 8 9 0
Sample Output:
6 3 8 1 5 7 9 0 2 4
解題思路:根據完全二叉樹性質找規律
解題感悟:1、記住vector中的sort和cmath檔案中的一些函數很重要
2、注意特殊情況下輸出的格式(本題的特殊情況是只有一個輸入的情況)
1 #include <iostream> 2 #include <vector> 3 #include<algorithm> 4 #include <cmath> 5 using namespace std; 6 int main(){ 7 int n; 8 cin >> n; 9 vector<int> v;10 for (int i = 0; i < n; i++)11 {12 int number;13 cin >> number;14 v.push_back(number);15 }16 sort(v.begin(), v.end());17 int zhishu = log(n)/log(2);18 int tichushu = n -pow(2,zhishu)+ 1;19 vector<int> v1;20 for (int i = 0; i < tichushu;i++)21 v1.push_back(v[i * 2]);22 for (int i = 0; i < tichushu; i++)23 v.erase(v.begin() + i);24 int flag = 1;25 for (int i = 1; i <= zhishu;i++)26 {27 for (int j = 0; j < pow(2,i-1);j++){28 if (flag == 1)29 {30 cout << v[v.size() / pow(2, i) + j * v.size() / pow(2, i-1)];31 flag = 0;32 }33 else34 {35 cout << " " << v[v.size() / pow(2, i) + j * v.size() / pow(2, i-1)];36 } 37 }38 }39 for (int i = 0; i < v1.size();i++)40 {41 if (flag == 1)42 {43 cout<< v1[i];44 flag = 0;45 }46 else47 cout << " " << v1[i];48 }49 return 0;50 }
Complete Binary Search Tree