Intervals - Meeting Rooms I
What is the auxiliary space complexity of the optimal meeting overlap detection algorithm that sorts intervals in-place?
What is the auxiliary space complexity of the optimal meeting overlap detection algorithm that sorts intervals in-place?
medium🪤 Complexity Trap Q6 of Q15
Step-by-Step Solution
Solution:
Step 1: Consider sorting space
In-place sorting like Timsort uses O(log n) recursion stack space.Step 2: Check additional space usage
Overlap check uses O(1) extra space beyond sorting.Final Answer:
Option B -> Option BQuick Check:
Sorting recursion stack causes O(log n) space [OK]
Quick Trick: In-place sort uses O(log n) stack space [OK]
Common Mistakes:
MISTAKES- Forgetting recursion stack space
- Assuming O(1) always without sorting cost
Trap Explanation:
PITFALL- Candidates often ignore recursion stack space in sorting, picking O(1) incorrectly.
Interviewer Note:
CONTEXT- Tests understanding of space complexity including recursion stack.
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