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Consider the following piece of code: sum = 0; for (i=1; i
Consider the following piece of code:
sum = 0;
for (i=1; i<=n; i*=2) {
for (j=1; j<=i; j++)
sum++; // MyStatement1
for (k=1; k<=n; k++)
sum++; // MyStatement2
}
(a)
Count the number of times MyStatement1 gets
executed in terms of n.
(b)
Count the number of times MyStatement2 gets executed in
terms of n.
(c)
What is the time complexity of the above algorithm in terms of Big O
notation in the
worst case? Is it different from
the best case? Justify your answer
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