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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

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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 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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