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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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