Recognize top-K, merge, and scheduling problems that call for a heap and design the comparator and size strategy correctly.
## CONTEXT Heaps and priority queues solve a distinctive family of problems efficiently, including top-K selection, merging sorted streams, and scheduling by priority, where repeatedly extracting the smallest or largest element would otherwise be costly. The art is recognizing the signal that a heap applies, deciding…
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