3. Show the use of Master Theorem to analyze the big-O complexity of the following version...

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3. Show the use of Master Theorem to analyze the big-O complexity of the following version of Stooge-Sort. STOOGE-SORT-2(array, start, end): If (array[start]> array[end]) swap (array[start], array[end]); if (end-start 2) return; STOOGE-SORT-2(array, STOOGE-SORT-2(array, MERGE-ORDERED( start, start + 2*floor((end-start+1)/3) - 1); start + floor((end-start+1)/3), end); array, start, start + floor((end-start+1)/3) - 1, array, start + floor((end-start+1)/3), start + 2*floor((end-start+1)/3) - 1); where MERGE-ORDERED(array1,start1.end1,array2.start2,end2) is the usual merge algorithm used in MergeSort to merge two ordered subsequences of equal length: array l [start1 :end1] and array2[start2:end2]. 3. Show the use of Master Theorem to analyze the big-O complexity of the following version of Stooge-Sort. STOOGE-SORT-2(array, start, end): If (array[start]> array[end]) swap (array[start], array[end]); if (end-start 2) return; STOOGE-SORT-2(array, STOOGE-SORT-2(array, MERGE-ORDERED( start, start + 2*floor((end-start+1)/3) - 1); start + floor((end-start+1)/3), end); array, start, start + floor((end-start+1)/3) - 1, array, start + floor((end-start+1)/3), start + 2*floor((end-start+1)/3) - 1); where MERGE-ORDERED(array1,start1.end1,array2.start2,end2) is the usual merge algorithm used in MergeSort to merge two ordered subsequences of equal length: array l [start1 :end1] and array2[start2:end2].

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To analyze the bigO complexity of the given version of StoogeSort using the Master Theorem lets brea... View the full answer