In this lab assignment, your job is to implement the O(nlogn) time divide-and-conquer algorithm for the Max Subarray Problem; for the pseudo-code, see page 72 in the textbook. Recall that in the problem, we are given as input an array A[1···n] of n integers, and would like to find i∗ and j∗ (1 ≤ i∗ ≤ j∗ ≤ n) such that A[i∗] + A[i∗ + 1] + ··· + A[j∗] is maximized.
Input structure The input starts with an integer number n, which indicates the array size. Then, the integers, A[1],A[2],···,A[n], follow, one per line.
Output structure Output the sum of integers in the max subarray, i.e., A[i∗] + A[i∗ + 1] + ··· + A[j∗].
