Selecting the middle element as the pivot is a strategic choice often used to prevent from hitting its
: This pivot choice is most famously paired with Hoare's Partition Scheme , which uses two pointers moving towards each other and is generally faster than the Lomuto scheme. 2. How the Algorithm Works The process typically follows these steps to sort an array: quicksort with middle element as pivot
quick sort complexity in worst case with pivot middle element Selecting the middle element as the pivot is
worst-case performance on sorted or nearly-sorted data. While choosing the first or last element is easier to code, it fails miserably on ordered lists because it splits the array into the most lopsided partitions possible (one side with 0 elements and the other with 1. The Strategy: Why Middle? While choosing the first or last element is
: It handles common real-world data (already sorted, reverse-sorted, or mostly sorted) much better than "naive" first/last pivot choices.
: For sorted arrays, the middle element is the actual median. Using it ensures the array is split into two equal halves, leading to the ideal performance.