MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -For large number of data sets, Insertion sort is the fastest. In the practical sorting, this case occurs rarely. Note that randomized Quicksort makes worst cases less possible, which will be the case for in-order data if the pivot point in Quicksort is chosen as the first element.

Detailed explanation-2: -Which is the best sorting algorithm? If you’ve observed, the time complexity of Quicksort is O(n logn) in the best and average case scenarios and O(n^2) in the worst case. But since it has the upper hand in the average cases for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

Detailed explanation-3: -Intro Sort is probably the best one.

Detailed explanation-4: -Insertion sort has a fast best-case running time and is a good sorting algorithm to use if the input list is already mostly sorted. For larger or more unordered lists, an algorithm with a faster worst and average-case running time, such as mergesort, would be a better choice.

Detailed explanation-5: -Among both of the sorting algorithm, the insertion sort is fast, efficient, stable while selection sort only works efficiently when the small set of elements is involved or the list is partially previously sorted.