Selection Sort Vs Insertion

Selection Sort is a simple comparison-based sorting algorithm that works by dividing the input list into two parts: a sorted section and an unsorted section. The algorithm repeatedly selects the smallest (or largest) element from the unsorted section and swaps it with the first unsorted element, effectively growing the sorted section until the entire list is sorted. This process continues until no unsorted elements remain, making Selection Sort easy to understand and implement, though it is generally inefficient on large lists with a time complexity of O(n^2).

Insertion Sort is another straightforward sorting algorithm that builds a sorted array one element at a time. It works by taking each element from the unsorted section and inserting it into its correct position in the already sorted section. The algorithm compares the current element to its predecessors and shifts larger elements one position to the right until it finds the appropriate spot for the current element. This process continues until the entire list is sorted. Insertion Sort is particularly efficient for small datasets or partially sorted lists, with a time complexity of O(n^2) in the average and worst cases, but it performs well with a time complexity of O(n) in the best case when the input is already sorted.