LeetCode 1161. Maximum Level Sum of a Binary Tree Solution in Java, C++, Python & More | Explanation + Code

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1161. Maximum Level Sum of a Binary Tree

Description

Given the root of a binary tree, the level of its root is 1, the level of its children is 2, and so on.

Return the smallest level x such that the sum of all the values of nodes at level x is maximal.

 

Example 1:

Input: root = [1,7,0,7,-8,null,null]
Output: 2
Explanation: 
Level 1 sum = 1.
Level 2 sum = 7 + 0 = 7.
Level 3 sum = 7 + -8 = -1.
So we return the level with the maximum sum which is level 2.

Example 2:

Input: root = [989,null,10250,98693,-89388,null,null,null,-32127]
Output: 2

 

Constraints:

  • The number of nodes in the tree is in the range [1, 104].
  • -105 <= Node.val <= 105

Solutions

Solution 1: BFS

We use BFS to traverse level by level, calculating the sum of nodes at each level, and find the level with the maximum sum. If there are multiple levels with the maximum sum, return the smallest level number.

Specifically, we use a queue q to store the nodes of the current level. During each traversal, we record the sum of nodes at the current level as s, then add all child nodes of the current level to the queue to prepare for the next level. We use variable mx to record the current maximum sum, and variable ans to record the corresponding level number. After calculating the sum of each level, if s is greater than mx, we update mx and ans. Finally, we return ans.

The time complexity is O(n) and the space complexity is O(n), where n is the number of nodes in the binary tree.

PythonJavaC++GoTypeScriptRust
# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def maxLevelSum(self, root: Optional[TreeNode]) -> int: q = deque([root]) mx = -inf i = 0 while q: i += 1 s = 0 for _ in range(len(q)): node = q.popleft() s += node.val if node.left: q.append(node.left) if node.right: q.append(node.right) if mx < s: mx = s ans = i return ans(code-box)

Solution 2: DFS

We can also use DFS to solve this problem. We use an array s to store the sum of nodes at each level. The index of the array represents the level, and the value of the array represents the sum of nodes. We use DFS to traverse the binary tree, adding the value of each node to the sum of nodes at the corresponding level. Finally, we return the index corresponding to the maximum value in s.

The time complexity is O(n), and the space complexity is O(n). Here, n is the number of nodes in the binary tree.

PythonJavaC++Go
# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def maxLevelSum(self, root: Optional[TreeNode]) -> int: def dfs(node, i): if node is None: return if i == len(s): s.append(node.val) else: s[i] += node.val dfs(node.left, i + 1) dfs(node.right, i + 1) s = [] dfs(root, 0) return s.index(max(s)) + 1(code-box)

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