Bird
Raised Fist0

What is the space complexity of the optimal greedy postorder traversal solution for the Binary Tree Cameras problem on a binary tree with height h?

medium🪤 Complexity Trap Q6 of Q15
Tree: Depth-First Search - Binary Tree Cameras
What is the space complexity of the optimal greedy postorder traversal solution for the Binary Tree Cameras problem on a binary tree with height h?
AO(n) due to storing coverage states for all nodes in a separate array
BO(h) due to recursion call stack depth in DFS traversal
CO(1) constant space since no extra data structures are used
DO(n) due to memoization of all subproblems
Step-by-Step Solution
Solution:
  1. Step 1: Identify auxiliary space usage

    The algorithm uses no extra arrays or memo tables; only recursion stack.
  2. Step 2: Recursion stack depth equals tree height h

    Space used is O(h) for call stack, no additional storage.
  3. Step 3: Constant extra variables used

    Only a few variables for counters and states.
  4. Final Answer:

    Option C -> Option C
  5. Quick Check:

    Space dominated by recursion stack depth O(h) [OK]
Quick Trick: Recursion stack depth = O(h) space [OK]
Common Mistakes:
MISTAKES
  • Assuming O(n) space due to arrays or memoization
Trap Explanation:
PITFALL
  • Candidates forget recursion stack counts as space, or confuse with DP table space.
Interviewer Note:
CONTEXT
  • Tests understanding of recursion stack space vs auxiliary data structures
Master "Binary Tree Cameras" 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