2265. Count Nodes Equal to Average of Subtree
Description
Given the root
of a binary tree, return the number of nodes where the value of the node is equal to the average of the values in its subtree.
Note:
- The average of
n
elements is the sum of then
elements divided byn
and rounded down to the nearest integer. - A subtree of
root
is a tree consisting ofroot
and all of its descendants.
Example 1:
Input: root = [4,8,5,0,1,null,6] Output: 5 Explanation: For the node with value 4: The average of its subtree is (4 + 8 + 5 + 0 + 1 + 6) / 6 = 24 / 6 = 4. For the node with value 5: The average of its subtree is (5 + 6) / 2 = 11 / 2 = 5. For the node with value 0: The average of its subtree is 0 / 1 = 0. For the node with value 1: The average of its subtree is 1 / 1 = 1. For the node with value 6: The average of its subtree is 6 / 1 = 6.
Example 2:
Input: root = [1] Output: 1 Explanation: For the node with value 1: The average of its subtree is 1 / 1 = 1.
Constraints:
- The number of nodes in the tree is in the range
[1, 1000]
. 0 <= Node.val <= 1000
Solutions
Solution 1: DFS
We design a function $\textit{dfs}$, which calculates the sum and the number of nodes of the subtree rooted at the current node.
The execution process of the function $\textit{dfs}$ is as follows:
- If the current node is null, return $(0, 0)$.
- Otherwise, we recursively calculate the sum and the number of nodes of the left and right subtrees, denoted as $(\textit{ls}, \textit{ln})$ and $(\textit{rs}, \textit{rn})$, respectively. Then, the sum $\textit{s}$ and the number of nodes $\textit{n}$ of the subtree rooted at the current node are $\textit{ls} + \textit{rs} + \textit{root.val}$ and $\textit{ln} + \textit{rn} + 1$, respectively. If $\textit{s} / \textit{n} = \textit{root.val}$, it means the current node meets the requirement of the problem, and we increment the answer $\textit{ans}$ by $1$.
- Finally, the function $\textit{dfs}$ returns $\textit{s}$ and $\textit{n}$.
We initialize the answer $\textit{ans}$ to $0$, then call the $\textit{dfs}$ function, and finally return the answer $\textit{ans}$.
The time complexity is $O(n)$, and the space complexity is $O(n)$. Here, $n$ represents the number of nodes in the binary tree.
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