What about space complexity? Therefore, it is an example of an incremental algorithm. Sometime Auxiliary Space is confused with Space Complexity. time-complexity-and-space-complexity-comparison-of-sorting-algorithms . If the array is already sorted, then the running time for merge sort is: ? Hence the name, insertion sort. Which algorithm is having highest space complexity? It sorts the entire array by using one extra variable. The array is searched sequentially and unsorted items are moved and inserted into the sorted sub-list (in the same array). Merge Sort space complexity will always be O(n) including with arrays. The complexity of an algorithm is the measure of the number of comparisons made in the algorithm—an algorithm’s complexity measure for the worst case, best case, and the average case. This algorithm is not suitable for large data sets as its average and worst case complexity are of Ο(n 2 ), where n is the number of items. Space complexity is the amount of memory used by the algorithm (including the input values to the algorithm) to execute and produce the result. Code Implementation. Insertion sort is much less efficient on large lists in compare to algorithms such as quicksort, heapsort, or merge sort. Insertion Sort. Only required constant amount of memory space , as size of data set. View Answer. Here … 30. Insertion Sort Steps. A. Data Structure. The time complexity of insertion sort. SEE THE INDEX If it is smaller then we put that element at the desired place otherwise we check for 2nd element. https://www.studytonight.com/data-structures/insertion-sorting However, insertion sort only takes up O(1) space complexity. But Auxiliary Space is the extra space or the temporary space … In Insertion sort, we start with the 1st element and check if that element is smaller than the 0th element. Space Complexity (i.e O(1)) Disadvantage. A. O(1) B. O(n*log n) C. O(n) D. O(n^2) View Answer « Prev. 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