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Computational complexity with an epsilon

 
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Aug22-11, 04:44 PM   #1
 

Computational complexity with an epsilon


What does that mean when there's an [itex] \epsilon[/itex] in the complexity, such as
[itex] O(n^{2+\epsilon}) [/itex] for every [itex] \epsilon >0[/itex]
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Aug27-11, 04:34 PM   #2
 
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Quote by yavanna View Post
What does that mean when there's an [itex] \epsilon[/itex] in the complexity, such as
[itex] O(n^{2+\epsilon}) [/itex] for every [itex] \epsilon >0[/itex]
Welcome to PF, yavanna!

I would tend to take it very literally.
It says the complexity is greater than [itex]O(n^{2})[/itex].
But it is less than for instance [itex]O(n^{2.1})[/itex].

Note that a complexity of [itex]O(n^{3})[/itex] as well as [itex]O(n^{4})[/itex] implies a complexity of [itex]O(n^{3})[/itex].
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