DSA learning path
Heaps & Priority Queues
Top-k selection, priority scheduling and multiway merging.
Problems in this path
- Kth Largest ElementOpen
Easy · Size-k Min-Heap - Top K Frequent ValuesOpen
Medium · Frequency Map + Heap - Merge K Sorted ArraysOpen
Hard · Multiway Merge - Last Stone WeightOpen
Easy · Max Heap - K Closest PointsOpen
Medium · Size-K Heap - Minimum Meeting RoomsOpen
Medium · End-Time Min Heap - Task Scheduler CooldownOpen
Medium · Frequency Max Heap - Kth Smallest in Sorted MatrixOpen
Medium · Heap Merge of Rows - Maximise Project CapitalOpen
Hard · Two-Heap Selection - Running MedianOpen
Hard · Two Heaps