563. Binary Tree Tilt
Description
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, 104]
. -1000 <= Node.val <= 1000
Solutions
Solution 1: Recursion
We design a function $\text{dfs}$ to calculate the sum of nodes in the subtree rooted at the current node. In the $\text{dfs}$ function, we first check if the current node is null. If it is, we return 0. Then we recursively call the $\text{dfs}$ function to calculate the sum of nodes in the left subtree $l$ and the sum of nodes in the right subtree $r$. Next, we calculate the tilt of the current node, which is $|l - r|$, and add it to the answer. Finally, we return the sum of nodes of the current node, which is $l + r + \textit{root.val}$.
In the main function, we initialize the answer to 0, then call the $\text{dfs}$ function to calculate the tilt of the entire tree and return the answer.
The time complexity is $O(n)$, and the space complexity is $O(n)$, where $n$ is the number of nodes.
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