Suppose T(n) is the time to execute an algorithm with input size n. Which of the following algorithms with the T(n) show is not good to be solved by divide-and-conquer?  (Choose the best answer) A.  T(n) = 2T(n/2) + 2n B.  T(n) = 10T(n/10) + 10n C.  T(n) = 2T(n/2) + 2n2 D.  T(n) = 2T(n/2) + 100n10 E.  T(n) = T(n-1) + 2T(n-2)

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Counting sort

The counting sort algorithm sorts an array’s contents by counting the repetition of each element that occurs in the array. A counting sort algorithm is a stable algorithm that works the best when the range of elements in the array is small, say for example from 0 to 9. The count which is the number of repetitions of an element in the array is mapped to an index of an auxiliary array, which is then saved in an auxiliary array. The counting sort algorithm has a stable time complexity of the order of O(size of array + size of auxiliary array). Let’s discuss the algorithm in detail as follows.