Binary Tree Tilt (E)

题目

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 there 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)
Tile 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

题意

统计一个数中所有子树的 |左子树的和-右子树的和| 的和。

思路

直接递归计算每个子树的和再进行统计即可。

代码实现

Java

class Solution {
    private int sum;

    public int findTilt(TreeNode root) {
        sum = 0;
        findSum(root);
        return sum;
    }

    public int findSum(TreeNode root) {
        if (root == null) {
            return 0;
        }

        int sumLeft = findSum(root.left);
        int sumRight = findSum(root.right);
        sum += Math.abs(sumLeft - sumRight);
        return sumLeft + sumRight + root.val;
    }
}

标签：node,Binary,right,root,sum,Tree,subtree,Tilt,0563
来源： https://www.cnblogs.com/mapoos/p/13944760.html