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Consider two approaches to compute maximum depth of a binary tree: (1) recursive DFS and (2) iterative DFS using a stack. When is the iterative DFS approach preferable over recursion?

hard⚖️ Approach Comparison Q8 of Q15
Tree: Depth-First Search - Maximum Depth of Binary Tree
Consider two approaches to compute maximum depth of a binary tree: (1) recursive DFS and (2) iterative DFS using a stack. When is the iterative DFS approach preferable over recursion?
AWhen the tree is very deep and recursion may cause stack overflow
BWhen the tree is very shallow and recursion overhead is high
CWhen the tree is balanced and recursion is simpler
DWhen the tree has many duplicate values
Step-by-Step Solution
Solution:
  1. Step 1: Identify recursion limitations

    Recursive DFS uses call stack which can overflow on very deep trees.
  2. Step 2: Compare iterative DFS benefits

    Iterative DFS uses explicit stack, avoiding call stack overflow, suitable for deep trees.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Iterative DFS prevents recursion stack overflow [OK]
Quick Trick: Iterative DFS avoids recursion stack overflow [OK]
Common Mistakes:
MISTAKES
  • Assuming recursion always better
  • Ignoring stack overflow risk
  • Confusing tree depth with balance
Trap Explanation:
PITFALL
  • Candidates often overlook recursion depth limits and prefer recursion blindly.
Interviewer Note:
CONTEXT
  • Tests understanding of recursion vs iteration trade-offs in tree traversal.
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