Concept
Heap sort is a comparison sorting algorithm that uses a binary heap to repeatedly select the largest or smallest element.
Explore heap sort by building a max heap, moving the root to the sorted region, and heapifying the remaining array. Learn the concept, operation flow, complexity, and real-world use cases through a focused OpenLabs interactive visualizer.
Heap sort is a comparison sorting algorithm that uses a binary heap to repeatedly select the largest or smallest element.
The algorithm builds a heap, swaps the root with the last unsorted item, shrinks the heap, and restores the heap property.
Best: O(n log n), Average: O(n log n), Worst: O(n log n), Space: O(1)
Watch each operation update the structure or algorithm state step by step.
The algorithm builds a heap, swaps the root with the last unsorted item, shrinks the heap, and restores the heap property. The lab makes every state change visible, helping students connect DSA theory with practical algorithm behavior.
Understand heap structure and heap property.
Visualize heapify after extraction.
Learn why heap sort gives O(n log n) worst-case time.
Connect array representation with binary heap behavior.
Open the Heap Sort lab, run the available operation controls, and watch the visual state update immediately. Use the animation to trace the operation order, compare complexity, and verify your understanding.
Heap sort is a sorting algorithm that uses a heap to repeatedly place the largest element into its final position.
Heap sort runs in O(n log n) time in best, average, and worst cases.
Heap sort is generally not stable because equal elements can change relative order during heap operations.
Launch the visualizer, trace each step, and build confidence with data structures and algorithms through hands-on learning.