Explain the time complexity of building a Heap.
Updated Apr 28, 2026
Short answer
O(N) when using the bottom-up approach, not O(N log N).
Deep explanation
Intermediate concepts focus on problem-solving patterns. O(N) when using the bottom-up approach, not O(N log N).
Real-world example
Real-time leaderboards in gaming.
Common mistakes
- Using a Max-Heap to find the K-th largest (which is less efficient than a K-sized Min-Heap).
Follow-up questions
- Time complexity of nlargest?