Lesson 191
K-way Merge
Min-Heap of K Sorted Lists
1:00How to merge k sorted lists into one sorted output in O(n log k) time using a min-heap of the k current heads.
By the end, you can
- Explain why each list's head is sufficient to determine the next output element.
- Compare the three merging strategies (dump-and-sort, scan-k-heads, min-heap) by complexity and trade-off.
- Trace a k-way merge step-by-step for small inputs, showing which element is popped and which list refills.
- Implement the seeding phase correctly, skipping empty lists.
- Identify and fix the three sharp-edge pitfalls: empty-list seeding, tie-breaking via list index, and wrong-list refill.
- Derive the O(n log k) time and O(k) space bounds from the algorithm's structure.
- Recognize where k-way merge appears in practice (external sort, merge sort, sorted stream merging, tournament trees).
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