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In lecture we considered a proof that the expected worst case running time of the randomized quicksort algorithm is (n log n). The analysis used
In lecture we considered a proof that the expected worst case running time of the randomized quicksort algorithm is (n log n). The analysis used an integral approximation for a summation that we have not studied in this class. There is a proof of this result that does not rely on this method The proof is based on the following observation. With probability1 the pivot selected will be between and (i.e. a good pivot). Also with probabilitythepivot selected will be between or between 3n and n (i.e. a bad pivot). State a recurrence that expresses the worst case for bad pivots. State a recurrence that expresses the worst case for good pivots. State a recurrence that expresses the expected worst case by combining the first two and recurrences. Prove by induction that your recurrence is in O(n logn)
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