Binary Tree Level Order Traversal II
LeetCode: Binary Tree Level Order Traversal II
Problem:
Given a binary tree, return the bottom-up level order traversal of its nodes' values. (ie, from left to right, level by level from leaf to root).
- Examples:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its bottom-up level order traversal as:
[
[15,7],
[9,20],
[3]
]
- Analysis:
Use a queue to store nodes of every level sequentially, and traverse the nodes in the queue.
- Code - 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<List<Integer>> levelOrderBottom(TreeNode root) {
List<List<Integer>> results = new ArrayList<List<Integer>>();
if (root == null) {
return results;
}
Queue<TreeNode> queue = new LinkedList<TreeNode>();
queue.add(root);
while (!queue.isEmpty()) {
int size = queue.size();
List<Integer> temp = new ArrayList<Integer>();
for (int i = 0; i < size; i++) {
TreeNode node = queue.poll();
temp.add(node.val);
if (node.left != null) {
queue.add(node.left);
}
if (node.right != null) {
queue.add(node.right);
}
}
results.add(temp);
}
Collections.reverse(results);
return results;
}
}
- Code - 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<vector<int>> levelOrderBottom(TreeNode* root) {
vector<vector<int>> results;
if (root == NULL) {
return results;
}
queue<TreeNode*> queues;
queues.push(root);
while (!queues.empty()) {
int size = queues.size();
vector<int> temp;
for (int i = 0; i < size; i++) {
TreeNode* node = queues.front();
temp.push_back(node->val);
if (node->left != NULL) {
queues.push(node->left);
}
if (node->right != NULL) {
queues.push(node->right);
}
queues.pop();
}
results.push_back(temp);
}
reverse(results.begin(), results.end());
return results;
}
};
- Code - Python:
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
import Queue
class Solution(object):
def levelOrderBottom(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
results = []
if root == None:
return results
queue = Queue.Queue()
queue.put(root)
while not queue.empty():
size = queue.qsize()
temp = []
for i in range(size):
node = queue.get()
temp.append(node.val)
if node.left != None:
queue.put(node.left)
if node.right != None:
queue.put(node.right)
results.append(temp)
return results[::-1]
Time Complexity: O(N), N is the number of nodes
Space Complexity: O(M), M is the max number of nodes of a level