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What is the space complexity of the optimized recursive approach that checks if a binary tree is balanced using postorder traversal with early exit?

medium🪤 Complexity Trap Q6 of Q15
Tree: Depth-First Search - Balanced Binary Tree
What is the space complexity of the optimized recursive approach that checks if a binary tree is balanced using postorder traversal with early exit?
AO(1) constant space
BO(h) due to recursion call stack where h is tree height
CO(n) due to storing all subtree heights
DO(n) due to memoization table
Step-by-Step Solution
Solution:
  1. Step 1: Analyze recursion stack usage

    Recursion depth is at most h (tree height), so call stack uses O(h) space.
  2. Step 2: Check auxiliary data structures

    No memoization or extra storage used, only variables for heights.
  3. Step 3: Clarify space complexity

    Auxiliary space excluding recursion stack is O(1), total space including stack is O(h).
  4. Final Answer:

    Option B -> Option B
  5. Quick Check:

    Auxiliary space is constant, recursion stack is implicit [OK]
Quick Trick: Auxiliary space is constant, recursion stack counted separately [OK]
Common Mistakes:
MISTAKES
  • Counting recursion stack as auxiliary space
Trap Explanation:
PITFALL
  • Candidates confuse recursion stack space with auxiliary data structures.
Interviewer Note:
CONTEXT
  • Tests understanding of space usage in recursion
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