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Nov 26, 2019 at 12:01 comment added Raphael That expression "$O(\_) > O(\_)$" doesn't make sense. I recommend you revisit the definition of $O$ -- it's a class of functions.
Nov 26, 2019 at 10:52 comment added Farhad Rahmanifard I think we are saying the same thing if you agree that $$O(n^0.5)>O(log(n))$$ . I have written a short answer, which explains the comparison result simply and implicitly. –
Nov 26, 2019 at 10:15 comment added Raphael "Here, the difference changes the internal functions completely and mathematically comparable" -- mathematics don't care about whether you change $n$ to $2n$ or $n^2$, per se -- they are different functions. "Greater" has a clear mathematical definition. What you are doing is to explain asymptotics using asymptotics -- that's not useful at all. Instead, the OP needs an explanation why $n \leadsto 2n$ is an "insignificant" change (according to Landau notation) whereas $2 \leadsto n^2$ is not.
Nov 26, 2019 at 6:10 comment added Farhad Rahmanifard Thanks for your comment @Raphael, but your example shows constant differences and is correct, while differences are limited to constants. Here, the difference changes the internal functions completely and mathematically comparable.
Nov 25, 2019 at 21:23 comment added Raphael This is wrong. $3n$ is always greater than $2n$ and yet $O(3n) = O(2n)$.
Nov 24, 2019 at 22:28 history edited OmG CC BY-SA 4.0
refine style
Nov 24, 2019 at 21:57 history migrated from stackoverflow.com (revisions)
Nov 24, 2019 at 12:46 comment added Farhad Rahmanifard I have changed my answer accordingly.
Nov 24, 2019 at 11:00 comment added Samuele Bianchi Yeah thank you, but sorry, i forgot parentheses on n^2*log(n), it's n^2 multiplied for log(n)
Nov 24, 2019 at 10:57 history answered Farhad Rahmanifard CC BY-SA 4.0