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What is the auxiliary space complexity of the optimized recursive diameter algorithm, considering recursion stack and data structures used?

medium🪤 Complexity Trap Q6 of Q15
Tree: Depth-First Search - Diameter of Binary Tree
What is the auxiliary space complexity of the optimized recursive diameter algorithm, considering recursion stack and data structures used?
AO(n^2)
BO(log n)
CO(n)
DO(1)
Step-by-Step Solution
Solution:
  1. Step 1: Identify recursion stack depth

    In worst case (skewed tree), recursion stack depth is O(n), but average case for balanced tree is O(log n).
  2. Step 2: Check auxiliary data structures

    Only constant extra variables used; no additional data structures proportional to n.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Auxiliary space dominated by recursion stack -> O(log n) average case [OK]
Quick Trick: Recursion stack depth -> O(log n) average case
Common Mistakes:
MISTAKES
  • Assuming worst-case skewed tree always
  • Ignoring average case balanced tree
Trap Explanation:
PITFALL
  • Candidates often assume worst-case skewed tree, ignoring average balanced tree scenario.
Interviewer Note:
CONTEXT
  • Tests understanding of recursion stack space in optimized DFS
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