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 or equal to the node's key.
- The right subtree of a node contains only nodes with keys greater than the node's key.
- Both the left and right subtrees must also be binary search trees.
Insert a sequence of numbers into an initially empty binary search tree. Then you are supposed to count the total number of nodes in the lowest 2 levels of the resulting tree.
Input Specification:
Each input file contains one test case. For each case, the first line gives a positive integer N (<=1000) which is the size of the input sequence. Then given in the next line are the N integers in [-1000 1000] which are supposed to be inserted into an initially empty binary search tree.
Output Specification:
For each case, print in one line the numbers of nodes in the lowest 2 levels of the resulting tree in the format:
n1 + n2 = n
where n1 is the number of nodes in the lowest level, n2 is that of the level above, and n is the sum.
Sample Input:9 25 30 42 16 20 20 35 -5 28Sample Output:
2 + 4 = 6
题意:给你一个二叉树,让你找出最下面的那一层和倒数第二层的节点数
思路:直接用二叉树模板
代码:
#include <iostream>
#include <cstdio>
#include <cmath>
#include <cstring>
#include <algorithm>
#include <queue>
#include <set>
#include <map>
using namespace std;
struct point {
point *left;
point *right;
int val;
};
int n;
int cnt[1005];
void build(point *&root,int num) {
if(root == NULL) {
root = (point *)malloc(sizeof(point));
root -> val = num;
root->left = NULL;
root->right = NULL;
return;
}
if(root->val >= num) {
build(root->left,num);
} else {
build(root->right,num);
}
}
int sum1 = 0,sum2 = 0;
int maxdepth = -1;
void found(point *root,int dep) {
if(root == NULL) {
maxdepth = max(dep,maxdepth);
return;
}
cnt[dep]++;
found(root->left,dep+1);
found(root->right,dep+1);
}
int main() {
cin >> n;
point *root = NULL;
int a;
for(int i = 0; i < n; i++) {
cin >> a;
build(root,a);
}
found(root,0);
printf("%d + %d = %d\n",cnt[maxdepth-1],cnt[maxdepth-2],cnt[maxdepth-1]+cnt[maxdepth-2]);
return 0;
}