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This is a re-post for https://www.chegg.com/homework-help/questions-and-answers/exercise-6-quicksort-see-page-56-text-given-array-s-quicksort-splits-s-exactly-median-algo-q26378689. not happy with the previous answer. Need step by step solution to eash section of the question. Exercise 6

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This is a re-post for https://www.chegg.com/homework-help/questions-and-answers/exercise-6-quicksort-see-page-56-text-given-array-s-quicksort-splits-s-exactly-median-algo-q26378689. not happy with the previous answer. Need step by step solution to eash section of the question.

Exercise 6 (quicksort, see page 56 of text) Given an array S, quicksort splits S exactly as in the median algorithm: It randomly selects an element v of S and then splits S into SL, Sv, and SR. It then recursively sorts SL and Sr with the following concatenation: lquicksort(S), S,quicksort(S,) Sv, quicksort(SR) (i) Write the pseudocode for this quicksort algorithm (you can assume that you are given the split algorithm) (ii) Show that the worst-case running time on an array of size n is (n2) Hint: Try to get a recurrence relation similar to that in Exercise 4(iv) on Homework #2. (iii) Assume that there are no repeated numbers in the array S. If v is the qth largest element of S, then SL will have q - 1 elements and Sn will have n - q elements. Use this, along with the fact that each position q is equally likely to argue that the expected running time satisfies the recurrence relation TL iv) Finally, we need to prove by induction that T(n)

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