Quick Sort is a renowned and widely used sorting algorithm in data structures. Its efficiency and versatility make it a top choice for sorting large datasets. In this, we will dive into the intricacies of Quick Sort, explore its algorithmic approach, analyze its time complexity, and discuss its real-world applications.

Quick Sort is a comparison-based sorting algorithm that follows the “divide and conquer” approach. It works by selecting a “pivot” element from the array and partitioning the other elements into two sub-arrays: those less than the pivot and those greater than the pivot. The sub-arrays are then sorted recursively.

Here’s a step-by-step explanation of how Quick Sort works:

• Pivot Selection: Choose a pivot element from the array. This choice can significantly impact the algorithm’s performance.
• Partitioning: Rearrange the array elements so that elements less than the pivot come before it, and elements greater than the pivot come after it. The pivot is now in its final sorted position.
• Recursion: Recursively apply Quick Sort to the sub-arrays created by the partitioning step.
• Combine: Combine the sorted sub-arrays to produce the final sorted array.

In the below PDF we discuss about Quick sorting techniques in detail in simple language, Hope this will help in better understanding.