Mail Archives: djgpp/1998/01/21/14:11:57
I'm sending this answer to the list, 'cause there was a problem
with this person's email address.
Luis
> Hi,
>
> I have noticed that lots algorithms provide their efficency as O(n),
> where N is the number of elements they are operating on. The last math
> course I have taken is Calculus 2 and I do not recall ever seeing the
> O(n) function. What does it mean? How efficient is something with
> O(n)? Thanks in advanced,
>
> Gili
There are at least two similar symbols o() and O(), and their meanings
are not exactly the same (but some people use O() when refering to o()).
Those o-symbols are not functions, they are used to represent classes of
functions.
For example, you say that f(x) = o(g(x)) as x --> a if lim f(x)/g(x) = 0
as x-->a. (sin(x) = o(1) as x-->0, but sin(x) is NOT o(x) as x-->0).
On the other way you say that f(x) = O(g(x)) as x-->a if |f(x)/g(x)| <= K
as x-->a for some constant K. (sin(x)=O(x) as x --> 0).
(Note: in the previous statments 'a' can represent infinity)
So, for example, if some process' time of conclusion is O(n), where n is
the quantity of elements it is operating on, then that means that that
process' running time depends linearly on that number.
For example, if some process require O(n^2) memory units, where n is the
quantity of elements it is operating on, then that means that that
process is "spending" K*n^2 memory units to "run", for some constant K.
So, an "ideal" algorithm is one that requires less ;-) than O(n) memory
units, and runs in less than O(n) time, etc.
Hope this helps,
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Luis Hernandez. email: newton AT math DOT gatech DOT edu 329805 Georgia Tech Station
Math School, Georgia Tech. 30332 Atlanta, GA, USA
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