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In a binary tree, which method efficiently finds the lowest common ancestor (LCA) of two nodes p and q without storing parent pointers?

easy💻 Programming Q1 of Q15
Tree: Depth-First Search - Lowest Common Ancestor of Binary Tree
In a binary tree, which method efficiently finds the lowest common ancestor (LCA) of two nodes p and q without storing parent pointers?
AIterative inorder traversal to locate p and q and then find LCA
BBreadth-first search (BFS) to find paths from root to p and q then compare
CRecursive depth-first search (DFS) that returns LCA during backtracking
DUsing a hash map to store all ancestors of p and then check q's ancestors
Step-by-Step Solution
Solution:
  1. Step 1: Use recursive DFS

    Traverse the tree recursively, returning the node if it matches p or q.
  2. Step 2: Backtrack and combine results

    If both left and right recursive calls return non-null, current node is LCA.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    DFS finds LCA during recursion [OK]
Quick Trick: Use recursion to find LCA without extra storage [OK]
Common Mistakes:
MISTAKES
  • Assuming BFS is more efficient for LCA
  • Using iterative traversal without parent pointers
  • Storing all ancestors unnecessarily
Trap Explanation:
PITFALL
  • BFS and ancestor hash map approaches are less efficient without parent pointers
Interviewer Note:
CONTEXT
  • Tests understanding of recursive DFS approach for LCA without extra data structures
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