作者: 负雪明烛
id: fuxuemingzhu
个人博客: http://fuxuemingzhu.cn/


题目地址:https://leetcode.com/problems/all-possible-full-binary-trees/description/

题目描述

A full binary tree is a binary tree where each node has exactly 0 or 2 children.

Return a list of all possible full binary trees with N nodes. Each element of the answer is the root node of one possible tree.

Each node of each tree in the answer must have node.val = 0.

You may return the final list of trees in any order.

Example 1:

Input: 7
Output: [[0,0,0,null,null,0,0,null,null,0,0],[0,0,0,null,null,0,0,0,0],[0,0,0,0,0,0,0],[0,0,0,0,0,null,null,null,null,0,0],[0,0,0,0,0,null,null,0,0]]
Explanation:

Note:

  • 1 <= N <= 20

题目大意

给出了个N,代表一棵二叉树有N个节点,求所能构成的树。

解题方法

所有能构成的树,并且返回的不是数目,而是真正的树。所以一定会把所有的节点都求出来。一般就使用了递归。

这个题中,重点是返回一个列表,也就是说每个能够成的树的根节点都要放到这个列表里。而且当左子树、右子树的节点个数固定的时候,也会出现排列组合的情况,所以使用了两重for循环来完成所有的左右子树的组合。

另外的一个技巧就是,左右子树的个数一定是奇数个。

代码如下:

# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None class Solution(object):
def allPossibleFBT(self, N):
"""
:type N: int
:rtype: List[TreeNode]
"""
N -= 1
if N == 0: return [TreeNode(0)]
res = []
for l in range(1, N, 2):
for left in self.allPossibleFBT(l):
for right in self.allPossibleFBT(N - l):
node = TreeNode(0)
node.left = left
node.right = right
res.append(node)
return res

C++版本的代码如下:

/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode(int x) : val(x), left(NULL), right(NULL) {}
* };
*/
class Solution {
public:
vector<TreeNode*> allPossibleFBT(int N) {
N--;
vector<TreeNode*> res;
if (N == 0) {
res.push_back(new TreeNode(0));
return res;
}
for (int i = 1; i < N; i += 2) {
for (auto& left : allPossibleFBT(i)) {
for (auto& right : allPossibleFBT(N - i)) {
TreeNode* root = new TreeNode(0);
root->left = left;
root->right = right;
res.push_back(root);
}
}
}
return res;
}
};

参考资料:https://leetcode.com/problems/all-possible-full-binary-trees/discuss/163429/Simple-Python-recursive-solution.

日期

2018 年 8 月 26 日 —— 珍爱生命,远离DD!
2018 年 12 月 2 日 —— 又到了周日

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