Skip to main content

Binary Tree Level Order Traversal

Given a binary tree, return the level order traversal of its nodes' values. (ie, from left to right, level by level).

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]
]
Solution
1
/**
* Definition for a binary tree node.
* function TreeNode(val) {
* this.val = val;
* this.left = this.right = null;
* }
*/
/**
* @param {TreeNode} root
* @return {number[][]}
*/
var levelOrder = function (root) {
if (!root) return [];
return helper([[root]], 0);
};

var helper = function (res, level) {
var now = res[level];
var next = [];

for (var i = 0; i < now.length; i++) {
if (now[i].left) next.push(now[i].left);
if (now[i].right) next.push(now[i].right);
now[i] = now[i].val;
}

if (next.length) {
res.push(next);
helper(res, level + 1);
}

return res;
};

Complexity:

  • Time complexity: O(n).
  • Space complexity: O(n).
Solution
/**
* Definition for a binary tree node.
* function TreeNode(val) {
* this.val = val;
* this.left = this.right = null;
* }
*/
/**
* @param {TreeNode} root
* @return {number[][]}
*/
var levelOrder = function (root) {
return helper([], root, 0);
};

var helper = function (res, root, level) {
if (root) {
if (!res[level]) res[level] = [];
res[level].push(root.val);
helper(res, root.left, level + 1);
helper(res, root.right, level + 1);
}
return res;
};

Complexity:

  • Time complexity: O(n).
  • Space complexity: O(n).