### big-o

#### Big Oh notation loop manipulation

```If I had two nested loops where the outer had a big oh notation of logn
and the inner had one of n does that mean the overall notion would be log2n?
because since n changes every time the outer loop executes, then the inner loop is technically running logn times but it loops n times. I apologise if this question sounds stupid. This is how the loop looks like:
outer loop runs while n>0
inner loops runs n times
n=(1/4)n
I'm sorry if my formatting is off, I spent a few minutes trying to figure out how to use latex here and couldn't quite crack it
```
```Time complexity is O(n):
First time, inner loop iterates n times
Second time, inner loop iterates n/4 times
Third time, inner loop iterates n/16 times
...
K'th time, inner loop iterates n/(4^k) times
Summing them up:
n + n/4 + n/16 + ... + n/4^k + ... + n/(4^log_4(n))
This is sum of geometric series with:
a = n
r = 1/4
And it's sums is bounded by: (n/3/4) = 4n/3 accorsing to the formula for r < 1```

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