Bird
Raised Fist0

Which approach guarantees reconstructing the original tree efficiently without redundant subtree searches?

easy🔍 Pattern Recognition Q11 of Q15
Tree: Depth-First Search - Construct Tree from Preorder and Inorder
You are given two arrays representing the preorder and inorder traversal sequences of a binary tree. Which approach guarantees reconstructing the original tree efficiently without redundant subtree searches?
AUse breadth-first search to build the tree level by level from preorder and inorder arrays.
BUse a greedy approach that picks nodes based on preorder and attaches them arbitrarily to the left or right.
CUse dynamic programming to store subtree results and combine them for the full tree.
DUse recursion with a hash map to quickly find root indices in inorder traversal, avoiding repeated searches.
Step-by-Step Solution
  1. Step 1: Understand the problem constraints

    Reconstructing a binary tree from preorder and inorder requires knowing root positions quickly to split subtrees.
  2. Step 2: Identify the optimal approach

    Using a hash map for inorder indices allows O(1) root lookups, avoiding repeated O(n) searches in recursion.
  3. Final Answer:

    Option D -> Option D
  4. Quick Check:

    Hash map lookup avoids repeated scanning [OK]
Quick Trick: Hash map lookup avoids repeated inorder searches [OK]
Common Mistakes:
MISTAKES
  • Assuming greedy or BFS can reconstruct tree correctly
  • Confusing DP with tree construction
  • Ignoring the need for quick root index lookup
Trap Explanation:
PITFALL
  • Greedy or BFS approaches seem intuitive but fail to maintain correct subtree boundaries, making them incorrect.
Interviewer Note:
CONTEXT
  • Tests if candidate recognizes the key optimization for tree reconstruction.
Master "Construct Tree from Preorder and Inorder" in Tree: Depth-First Search

3 interactive learning modes - each teaches the same concept differently

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More Tree: Depth-First Search Quizzes