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Question 2 ( a ) What is the tightest bound big - Oh ( O ) time complexity for the following code in terms of

Question 2
(a) What is the tightest bound big-Oh (O) time complexity for the following code in terms of input
size n? Show all necessary steps:
Algorithm MyAlgorithm (A,B)
Input: Arrays A and B each storing n1 integers.
Output: What is the output? (Refer to part b below)
Start:
count =0
for i=1 to n***n do {
sum =0
for j=1 to i do {
sum = sum +A[0]
for k=1 to j do
if (kn-1)
sum = sum +A[k]
}
if B[i-1](i
ifB[i-1] sum then count = count +1
}
return count
(b) Document a hand-run on MyAlgorithm for input arrays below and show the final output.
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