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The time complexity of the following fragment of code in the big-O notation is: for (k = 0; k , n/2; ++k) { some statements

The time complexity of the following fragment of code in the big-O notation is:

for (k = 0; k , n/2; ++k)

{

some statements .........

for (j = 0; j < n*n; ++j)

{

some statements .........

}

}

In the possible answers, n^n denotes nn

a) O(n)

b) O(n^2)

c) O(log n)

d) O(n^3)

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