Phase 1: Comprehending Quicksort and Randomized Quicksort.
- Quicksort: Standard quicksort employs a fixed method for pivot selection, typically the initial, final, or median element.
- Randomized Quicksort: Randomized quicksort selects the pivot element arbitrarily. This strategy enhances efficiency by mitigating the risk of worst-case performance, which arises from consistently poor pivot divisions.
Phase 2: Summary.
The primary distinction between these algorithms lies in their pivot element selection process.
Given a list numList of n elements and key value K, arrange the following steps for finding the position of the key K in the numList using the binary search algorithm i.e. BinarySearch(numList, key).
mid = (first + last) // 2first = 0, last = n - 1first <= last REPEATnumList[mid] = key, numList[mid] > key, THEN last = mid - 1first = mid + 1