Consider the Mergesort algorithm on inputs of size $n = 2^k$. Normally, this algorithm would have a recursion depth of $k$. Suppose that we modify the algorithm so that after $k/2$ levels of recursion, it switches over to insertion sort. What is the running time of this modified algorithm?
I know that MergeSort has worst-case runtime of $O(n \log n)$ and Insertion Sort has worst-case runtime of $O(n^2)$, but I'm not sure how these bounds will be affected within the problem above.
You know that MergeSort has a complexity of $O(n\log n)$. Why? We can write a recurrence for the running time of MergeSort: $$ T(n) = 2T(n/2) + Cn, \quad T(1) = D. $$ (Assume for simplicity that $n$ is a power of 2.) The solution is $T(n) = O(n\log n)$. Why? Since we can write $$ T(n) = 2T(n/2) + Cn = 4T(n/4) + Cn + Cn = 8T(n/8) + Cn + Cn + Cn = \cdots = (\log n)Cn + Dn. $$ That is, at each internal level the total complexity is $Cn$, there are $\log n$ levels, and at the bottom the complexity is $Dn$. It is instructive to rewrite it in terms of $n = 2^k$: $$ T(2^k) = 2^1T(2^{k-1}) + C2^k = 2^2T(2^{k-2}) + C2^k + C2^k = \cdots. $$ In your case, you want to stop the recursion at depth $k/2$, and instead of expanding $2^{k/2}T(2^{k/2})$ using the recursion, apply the $En^2$ insertion sort algorithm. What would you get? (that's a question for you)
