The divide and conquer algorithm for finding the median is described
in http://en.wikipedia.org/wiki/Selection_algorithm.

Dave

On Apr 22, 4:43 am, "Varun S V" <[EMAIL PROTECTED]> wrote:
> Hi Dave,
>
> Can you kindly eloborate your algorithm?
> How can we modify a single array in O(n) time, such that the median comes to
> become the n/2th element and smaller elements comes to the left side and
> larger elements comes to the right side? Kindly explain in detail.
>
> 2008/4/22 Pramod Negi <[EMAIL PROTECTED]>:
>
>
>
> > i didnt get what u want to so say (the bold lines)
>
> > On 4/21/08, Dave <[EMAIL PROTECTED]> wrote:
>
> > > Use a divide-and-conquer algorithm to find the median, rearranging the
> > > array so that the values less than the median precede it in the array
> > > and the values greater than the median follow it. So the median is a(n/
> > > 2).* Now use the divide-and-conquer algorithm twice more to locate the
> > > (n/2-k)th and (n/2+k)th elements*. Finally, march out both directions
> > > from n/2, selecting the closest elements to a(n/2). Each of these
> > > operations can be done in O(n), so the total algorithm is O(n).
>
> > > Dave
>
> > > On Apr 21, 9:35 am, Algo <[EMAIL PROTECTED]> wrote:
> > > > hi this is prob 9-3.7 of CLRS , anybody having a clue???
>
> > > > Describe an O(n)-time algorithm that, given a set S of n distinct
> > > > numbers and a positive
> > > > integer k ≤ n, determines the k numbers in S that are closest to the
> > > > median of S
>
> > > > thanks in advance..- Hide quoted text -
>
> - Show quoted text -
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