aloalgoHeap Patterns and Applications
Heaps are essential for problems involving finding extremes, merging sorted data, or processing by priority.Pattern 1: Top K Elements
Find the K largest or K smallest elements.Pattern 2: Kth Largest Element
Find the Kth largest element without sorting the entire array.Pattern 3: Merge K Sorted Lists
Efficiently merge multiple sorted lists using a heap.Pattern 4: Running Median
Find the median as elements are added to a stream.Pattern 5: Task Scheduling
Process tasks based on priority or deadline.Pattern 6: Closest Points
Find K points closest to the origin.When to Use a Heap
- Keywords: "K largest", "K smallest", "Kth element", "top K"
- Keywords: "merge sorted", "median", "priority"
- Pattern: Need repeated access to min/max while adding elements
- Pattern: Process items in sorted order from multiple sources
Was this helpful?
Company
Practice
© 2026 aloalgo. All rights reserved.