@Patidarachat: Please explain how to use the selection algorithm in
the presence of the restriction that you can't hold all of the data in
memory at once.

Dave

On Mar 22, 3:55 am, "patidarc...@gmail.com" <patidarc...@gmail.com>
wrote:
> please check this also
> Selection_algorithm <http://en.wikipedia.org/wiki/Selection_algorithm>
>
> On Tue, Mar 22, 2011 at 10:13 AM, Rajeev Kumar 
> <rajeevprasa...@gmail.com>wrote:
>
>
>
>
>
>
>
> >http://flexaired.blogspot.com/2011/03/big-file-containing-billions-of...
>
> > On Mon, Mar 21, 2011 at 4:05 AM, Natansh Verma 
> > <natansh.ve...@gmail.com>wrote:
>
> >> @dave -was this a constraint since the beginning? In case it was, I am
> >> sorry I didn't notice.
>
> >> In that case, the heap method ought to work better. I dont think the
> >> quicksort method will work.
>
> >> Sent from my iPhone
>
> >> On 20-Mar-2011, at 23:00, Dave <dave_and_da...@juno.com> wrote:
>
> >> > @Natansh: How do you do this with the constraint that your RAM is so
> >> > small that you cannot accomodate all of the numbers at once?
>
> >> > Dave
>
> >> > On Mar 20, 9:04 am, Natansh Verma <natansh.ve...@gmail.com> wrote:
> >> >> There's another way... use the partitioning method for quicksort to
> >> find the
> >> >> k smallest elements. Then it should take expected time as O(n + klogk).
> >> >> Plus, it is in-place.
>
> >> >> On Wed, Mar 16, 2011 at 7:26 PM, asit <lipu...@gmail.com> wrote:
> >> >>> I agree with munna
>
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> > --
> > Thank You
> > Rajeev Kumar
>
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> Thanks
> Rajesh Patidar~- Hide quoted text -
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> - Show quoted text -

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