102 Binary Tree Level Order Traversal 二叉树的层序遍历
Description:
Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).
Example:
For example:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its level order traversal as:
[
[3],
[9,20],
[15,7]
]
题目描述:
给你一个二叉树,请你返回其按 层序遍历 得到的节点值。 (即逐层地,从左到右访问所有节点)。
示例 :
二叉树:[3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
返回其层次遍历结果:
[
[3],
[9,20],
[15,7]
]
思路:
- 递归法
递归时加上深度, 同一个深度的加入一个列表 - 迭代法
采用队列
时间复杂度O(n), 空间复杂度O(n)
代码:
C++:
/**
* 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> levelOrder(TreeNode* root)
{
vector> result;
helper(root, 0, result);
return result;
}
private:
void helper(TreeNode* root, int depth, vector> &result)
{
if (!root) return;
if (depth >= result.size()) result.push_back(vector{});
result[depth].push_back(root -> val);
helper(root -> left, depth + 1, result);
helper(root -> right, depth + 1, result);
}
};
Java:
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public List> levelOrder(TreeNode root) {
List> result = new ArrayList<>();
LinkedList queue = new LinkedList<>();
queue.add(root);
while (!queue.isEmpty()) {
List temp = new ArrayList<>();
int len = queue.size();
for (int i = 0; i < len; i++) {
TreeNode p = queue.remove();
if (p != null) {
temp.add(p.val);
queue.add(p.left);
queue.add(p.right);
}
}
if (!temp.isEmpty()) {
result.add(temp);
}
}
return result;
}
}
Python:
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def levelOrder(self, root: TreeNode) -> List[List[int]]:
def helper(root: TreeNode, depth: int, result: List[List[int]]) -> None:
if not root:
return
if depth >= len(result):
result.append([])
result[depth].append(root.val)
helper(root.left, depth + 1, result)
helper(root.right, depth + 1, result)
result = []
helper(root, 0, result)
return result