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What is the time complexity of the optimal recursive postorder traversal algorithm for computing the maximum path sum in a binary tree with n nodes?

medium🪤 Complexity Trap Q5 of Q15
Tree: Depth-First Search - Binary Tree Maximum Path Sum
What is the time complexity of the optimal recursive postorder traversal algorithm for computing the maximum path sum in a binary tree with n nodes?
AO(n log n)
BO(n^2)
CO(log n)
DO(n)
Step-by-Step Solution
Solution:
  1. Step 1: Analyze traversal

    The algorithm visits each node once in postorder traversal.
  2. Step 2: Compute complexity

    Each node's max_gain is computed once, with constant work per node, so total time is O(n).
  3. Final Answer:

    Option D -> Option D
  4. Quick Check:

    Single DFS traversal over n nodes is O(n) [OK]
Quick Trick: DFS visits each node once -> O(n) time [OK]
Common Mistakes:
MISTAKES
  • Assuming O(n^2) due to path enumeration
  • Confusing with DP on weights or capacities
  • Thinking recursion adds extra overhead
Trap Explanation:
PITFALL
  • Candidates often think enumerating all paths causes O(n^2), but optimal DFS avoids that by computing gains bottom-up.
Interviewer Note:
CONTEXT
  • Tests understanding of DFS time complexity in tree problems.
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