Binary Tree Maximum Path Sum
Binary Tree Maximum Path Sum is a Hard Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Tree Traversal Patterns (DFS & BFS) pattern, in the Recursive Postorder Traversal subpattern.
Problem statement
A path in a binary tree is a sequence of nodes where each pair of adjacent nodes in the sequence has an edge connecting them. A node can only appear in the sequence at most once. Note that the path does not need to pass through the root.
The path sum of a path is the sum of the node's values in the path.
Given the root of a binary tree, return the maximum path sum of any non-empty path.
Example 1:
Input: root = [1,2,3] Output: 6 Explanation: The optimal path is 2 -> 1 -> 3 with a path sum of 2 + 1 + 3 = 6.
Example 2:
Input: root = [-10,9,20,null,null,15,7] Output: 42 Explanation: The optimal path is 15 -> 20 -> 7 with a path sum of 15 + 20 + 7 = 42.
Constraints:
- The number of nodes in the tree is in the range [1, 3 104].
- -1000 <= Node.val <= 1000
Topics and companies
Topics: Dynamic Programming, Tree, Depth-First Search, Binary Tree.
Reported in interviews at Facebook, Amazon, Google, Microsoft, Bloomberg, Oracle, Adobe, Apple, Yahoo, ByteDance.
How to practise Binary Tree Maximum Path Sum on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n) time and O(h) space.
Open Binary Tree Maximum Path Sum in the code editor, or read the Binary Tree Maximum Path Sum editorial for a worked solution with its approach and complexity analysis.
Where Binary Tree Maximum Path Sum sits in the DSA pattern sheet
- Tree Traversal Patterns (DFS & BFS) pattern guide
- Recursive Postorder Traversal subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Binary Tree Maximum Path Sum
Other problems that use the same Recursive Postorder Traversal and Tree Traversal Patterns (DFS & BFS) techniques:
- All Nodes Distance K in Binary Tree — Medium, same subpattern
- Balanced Binary Tree — Easy, same subpattern
- Binary Tree Postorder Traversal — Easy, same subpattern
- Delete Nodes And Return Forest — Medium, same subpattern
- Diameter of Binary Tree — Easy, same subpattern
- Find Leaves of Binary Tree — Medium, same subpattern