#simple big o question
19 messages · Page 1 of 1 (latest)
f2 is right, because although there is an n^c term, c=0.05 is such a small value, which is even smaller than sqrt(n) which would be n^0.5
nevermind me
you are right
maybe your professor put logn because n^0.05 only starts "overpowering" logn at such crazy high values of n
but you are right with f2 being O(n^0.05)
and f4 would be O(n * log_2(n)^2)
it is, you are completely right
this
Post marked as solved by @distant scarab.
Use .unsolved if this was a mistake.
but i guess maybe he put logn because in cs applications of big o notation
you dont really see values of n that high such that n^0.05 > logn
youre welcome
but if this was graded
i would 100% argue that n^0.05 > logn
as n -> inf
neat
still ask him anyways
@distant scarab and 1 more thing if ur ever confused on comparing 2 terms you can always plug in lim (term 1 - term 2) as x -> inf on wolframalpha and if its positive inf then term 1 grows faster and -inf then term 2 grows faster