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.
Construct custom weighted networks, trace Dijkstra shortest paths, compute Kruskal Minimum Spanning Trees, test 2-colorability, and simulate Ford-Fulkerson maximum network flow step by step.
Explore linked lists by watching nodes connect through pointers while insertion, deletion, and traversal operations update the structure.
Understand queue behavior by adding items at the rear and removing them from the front in first-in, first-out order.
Explore stack operations by pushing values on top, popping the latest value, and seeing last-in, first-out behavior clearly.
Watch bubble sort compare neighboring values, swap them when needed, and move larger values toward the end of the array.
Watch insertion sort build a sorted prefix by picking one key at a time and inserting it into the correct position.
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.