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What is the worst - case Big - O runtime for the following method? Assume that n is the length of the array. public static

What is the worst-case Big-O runtime for the following method? Assume that n is the
length of the array.
public static void
divideAndConquer(int[] input){
if (input.length 0)
3., return;
else {
int [] leftHalf = new
int[input.length/2];
for (int i=0;i left Half.length;
i++
leftHalf[i]= input[i];
}
divideAndConquer(leftHalf);
int[] rightHalf = new
int[input.length - leftHalf.length];
for (int i=0;i rightHalf.length;
i++
rightHalf[i]=
input[leftHalf.length +i;
}
divideAndConquer(right);
}
} T(n)= O(log-n), T(n)= O(n^2), T(n)= O(n. log-n), T(n)= O(n), T(n)= O(2^n)
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