I don't know much python, but you can probably write it recursively to make
it look even simpler.

Carlos Guía


On Sun, May 23, 2010 at 4:42 AM, Luke Pebody <[email protected]> wrote:

> Depends on your programming language. In python it would be:
> a = 1
> k = 1
> while (k <= 500):
>  a *= k
>  k += 1
> print a
>
>
> On Sun, May 23, 2010 at 9:24 AM, Bharath Raghavendran
> <[email protected]> wrote:
> > you can calculate nCr using a dynamic programming type algo as nCr =
> n-1Cr +
> > n-1Cr-1.
> > calculate for largest possible n once .. and once thats done, getting
> this
> > value would be O(1). Calculating factorial of 500 looks scary
> >
> > On 23 May 2010 13:49, Mikhail Dektyarev <[email protected]
> >
> > wrote:
> >>
> >> As I know, dict uses trees, not hashes.
> >> And to find the right size is not difficult. 501x501 will be enough,
> >> filling with 0 by default.
> >>
> >> On Sun, May 23, 2010 at 12:17 PM, Atanas Banov <[email protected]>
> wrote:
> >>>
> >>> errr, no. hash lookup is O(1), not log... you are thinking balanced
> trees
> >>> or some such.
> >>> also while 2D array will be a bit faster, you will have to deal with
> >>> proper sizing and filling default value.
> >>>
> >>> On Sat, May 22, 2010 at 8:18 PM, Terence <[email protected]>
> wrote:
> >>>>
> >>>> Another point is to use array (2-D list) instead of dict to implement
> >>>> cache. this will reduce the time complexity of cache lookup operation
> from
> >>>> O(logN) to O(1)
> >>>>
> >>>
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> >>
> >>
> >>
> >> --
> >> Best regards, Дектярев Михаил
> >>
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