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7. Although merge-sort runs in en log n) worst-case time and insertion sort runs in en) worst-case time, the constant factors in insertion sort can
7. Although merge-sort runs in en log n) worst-case time and insertion sort runs in en) worst-case time, the constant factors in insertion sort can make it faster in practice for small problem sizes on many machines. Thus, it makes sense to coarsen the leaves of the recursion by using insertion sort within merge sort when subproblems become sufficiently small. Consider a modification to merge sort in which n/k sublists of length k are sorted using insertion sort and then merged using the standard merging mecha nism, where k is a value to be determined. (a) Show that insertion sort can sort the nk sublists, each of length k, in enk) worst-case time. (b) Show how to merge the sublists in en log(n/k)) worst-case time. (c) Given that the modified algorithm runs in enk+n log(n/k)) worst- case time, what is the largest value of k as a function of n for which the modified algorithm has the same running time as standard merge sort, in terms of e-notation
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