Binary Tree Tilt
LeetCode 563 | Difficulty: Easyβ
EasyProblem Descriptionβ
Given the root of a binary tree, return the sum of every tree node's tilt.
The tilt of a tree node is the absolute difference between the sum of all left subtree node values and all right subtree node values. If a node does not have a left child, then the sum of the left subtree node values is treated as 0. The rule is similar if the node does not have a right child.
Example 1:

Input: root = [1,2,3]
Output: 1
Explanation:
Tilt of node 2 : |0-0| = 0 (no children)
Tilt of node 3 : |0-0| = 0 (no children)
Tilt of node 1 : |2-3| = 1 (left subtree is just left child, so sum is 2; right subtree is just right child, so sum is 3)
Sum of every tilt : 0 + 0 + 1 = 1
Example 2:

Input: root = [4,2,9,3,5,null,7]
Output: 15
Explanation:
Tilt of node 3 : |0-0| = 0 (no children)
Tilt of node 5 : |0-0| = 0 (no children)
Tilt of node 7 : |0-0| = 0 (no children)
Tilt of node 2 : |3-5| = 2 (left subtree is just left child, so sum is 3; right subtree is just right child, so sum is 5)
Tilt of node 9 : |0-7| = 7 (no left child, so sum is 0; right subtree is just right child, so sum is 7)
Tilt of node 4 : |(3+5+2)-(9+7)| = |10-16| = 6 (left subtree values are 3, 5, and 2, which sums to 10; right subtree values are 9 and 7, which sums to 16)
Sum of every tilt : 0 + 0 + 0 + 2 + 7 + 6 = 15
Example 3:

Input: root = [21,7,14,1,1,2,2,3,3]
Output: 9
Constraints:
- The number of nodes in the tree is in the range `[0, 10^4]`.
- `-1000 <= Node.val <= 1000`
Topics: Tree, Depth-First Search, Binary Tree
Approachβ
Tree DFSβ
Traverse the tree recursively (or with a stack). At each node, decide: what information do I need from the left/right subtrees? Process: go left β go right β combine results. Consider preorder, inorder, or postorder traversal based on when you need to process the node.
Path problems, subtree properties, tree structure manipulation.
Solutionsβ
Solution 1: C# (Best: 157 ms)β
| Metric | Value |
|---|---|
| Runtime | 157 ms |
| Memory | 28.7 MB |
| Date | 2021-10-01 |
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
public class Solution {
public int result = 0;
public int FindTilt(TreeNode root) {
NodeSum(root);
return result;
}
public int NodeSum(TreeNode root)
{
if(root == null)
{
return 0;
}
int leftSum = root.left != null ? NodeSum(root.left) : 0;
int rightSum = root.right != null ? NodeSum(root.right) : 0;
result += Math.Abs(leftSum - rightSum);
return leftSum + rightSum + root.val;
}
}
π 2 more C# submission(s)
Submission (2021-10-01) β 168 ms, 28.9 MBβ
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
public class Solution {
public int FindTilt(TreeNode root) {
int result = 0;
NodeSum(root, ref result);
return result;
}
public int NodeSum(TreeNode root, ref int result)
{
if(root == null)
{
return 0;
}
int leftSum = root.left != null ? NodeSum(root.left, ref result) : 0;
int rightSum = root.right != null ? NodeSum(root.right, ref result) : 0;
result += Math.Abs(leftSum - rightSum);
return leftSum + rightSum + root.val;
}
}
Submission (2021-10-01) β 186 ms, 28.8 MBβ
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
public class Solution {
public int FindTilt(TreeNode root) {
List<int> result = new List<int>();
NodeSum(root, result);
return result.Sum();
}
public int NodeSum(TreeNode root, List<int> result)
{
if(root == null)
{
return 0;
}
int leftSum = root.left != null ? NodeSum(root.left, result) : 0;
int rightSum = root.right != null ? NodeSum(root.right, result) : 0;
result.Add(Math.Abs(leftSum-rightSum));
return leftSum + rightSum + root.val;
}
}
Complexity Analysisβ
| Approach | Time | Space |
|---|---|---|
| Tree Traversal | $O(n)$ | $O(h)$ |
Interview Tipsβ
- Start by clarifying edge cases: empty input, single element, all duplicates.
- Consider: "What information do I need from each subtree?" β this defines your recursive return value.
- LeetCode provides 4 hint(s) for this problem β try solving without them first.
π‘ Hints
Hint 1: Don't think too much, this is an easy problem. Take some small tree as an example.
Hint 2: Can a parent node use the values of its child nodes? How will you implement it?
Hint 3: May be recursion and tree traversal can help you in implementing.
Hint 4: What about postorder traversal, using values of left and right childs?