Problem Description
Given a binary tree where each node contains an integer value, the goal is to determine the path that produces the maximum sum. A path is defined as any sequence of nodes connected by edges, where each node appears at most once, and the path does not necessarily pass through the root. The path sum is the total of all the node values on that path.
Key Insights
- Use Depth-First Search (DFS) to explore the tree in a post-order fashion.
- For each node, calculate the maximum gain including that node and optionally one of its subtrees.
- A node’s best contribution to its parent can be either just its own value or its value plus the maximum gain from either the left or right child.
- Update a global maximum path sum that considers the possibility of combining both left and right gains with the current node.
- Handle negative values by comparing gains against 0 to avoid decreasing the path sum.
Space and Time Complexity
Time Complexity: O(n), where n is the number of nodes in the tree, since each node is visited exactly once.
Space Complexity: O(n) in the worst-case scenario due to the recursion stack (O(H) where H is the height of the tree, which can be O(n) for skewed trees).
Solution
We use a recursive DFS approach (post-order traversal) to compute the maximum gain from each subtree. For every node:
- Recursively compute the maximum gain from the left and right child, ensuring that negative gains are treated as 0.
- The maximum gain that can be provided to the node’s parent is the node’s value plus the larger gain from its left or right child.
- Simultaneously, the potential maximum path sum including the current node as the highest (or root) node is the node’s value plus both left and right gains.
- Update a global variable that holds the maximum path sum found so far.
- Return the maximum gain (node value plus one best child) to be used by the node’s parent.
This strategy ensures that every possible path sum is considered while avoiding double-counting nodes.