I tried to calculate that, and I found that it is $\log n (\log n +1)(2\log n+1)$
1. Count=0
2. for i=1 to ⌊logn⌋
3. for j=i to i + 5
4. for k=1 to i*i
5. count=count + 1
6. end for
7. end for
8. end for
And what is the time complexity of the algorithm?
i think, step 5 will execute
$ \sum_{i=1}^{\log n} \sum_{j=i}^{i+5} \sum_{k=1}^{i^2} 1 = \sum_{i=1}^{\log n} \sum_{j=i}^{i+5} {i^2} = 6\sum_{i=1}^{\log n} {i^2} =6(\frac{\log n (\log n +1)(2\log n+1)}{6})= \log n (\log n +1)(2\log n+1)$
so the time complexity of the algorithm is $\Theta(\log^3n)$