Optimal Algorithmic Approach
Min-heap of size k: insert and possibly evict O(log k) per add.
Core Invariants & Edge Cases
- Maintain a min-heap of size k
- The heap root is always the kth largest element
- If heap grows beyond k, pop the smallest
Design a class that finds the kth largest element after every add().
Min-heap of size k: insert and possibly evict O(log k) per add.
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