Concept
Quick sort is a divide-and-conquer sorting algorithm that partitions an array around a pivot.
Watch quick sort choose a pivot, partition smaller and larger values, and recursively sort each side. Learn the concept, operation flow, complexity, and real-world use cases through a focused OpenLabs interactive visualizer.
Quick sort is a divide-and-conquer sorting algorithm that partitions an array around a pivot.
After partitioning, values smaller than the pivot move to one side and larger values move to the other, then recursion sorts both sides.
Best: O(n log n), Average: O(n log n), Worst: O(n^2), Space: O(log n)
Watch each operation update the structure or algorithm state step by step.
After partitioning, values smaller than the pivot move to one side and larger values move to the other, then recursion sorts both sides. The lab makes every state change visible, helping students connect DSA theory with practical algorithm behavior.
Understand pivot selection and partitioning.
Visualize recursive sorting of subarrays.
Learn why pivot quality affects performance.
Compare quick sort with merge sort and heap sort.
Open the Quick 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.
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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.
Explore heap sort by building a max heap, moving the root to the sorted region, and heapifying the remaining array.
Quick sort partitions an array around a pivot and recursively sorts the partitions.
Quick sort is O(n log n) on average but can become O(n^2) with poor pivot choices.
Most implementations are in-place apart from recursion stack space.
Launch the visualizer, trace each step, and build confidence with data structures and algorithms through hands-on learning.