Please DONOT attempt this Big O question if you don't know the exact answer.
Algorithms question (Big O): Please explain me in details the order of growth (as a function of N) of the running times of each of the following code fragments:
a) int sum = 0;
for (int n = N; n > 0; n /= 2)
for(int i = 0; i < n; i++)
sum++;
b) int sum = 0;
for (int i = 1 i < N; i *= 2)
for (int j = 0; j < i; j++)
sum++;
c) int sum = 0;
for (int i = 1 i < N; i *= 2)
for (int j = 0; j < N; j++)
sum++;
Note: No copy/paste from Google search please. Send me the answer only if you have very clear concept on this
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Please DONOT attempt this Big O question if you don't know the exact answer. Algorithms question...
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