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The purpose of this program is to compare the computing times of the two classical sorting algorithms Mergesort and Quicksort where insertion sort Is used
The purpose of this program is to compare the computing times of the two classical sorting algorithms Mergesort and Quicksort where insertion sort Is used as a threshold sort. Although for large lists, Insertionsort is, on average, much slower than Mergesort and Quicksort, it is faster than both for sufficiently small lists. A useful technique to improve the efficiency of a divide-and conquer sorting algorithm is to employ a sorting algorithm such as Insertionsort when the input size is smaller than or equal to some threshold t (e.g., a number between 8 and 16 usually works well) Instead of the bootstrap condition being a list of size and simply doing nothing other than return when this condition is satisfied, the bootstrap condition is now a list of size
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