@Piyush: You are correct, but the more complicated median-of-median
algorithms can find the kth order statistic in O(n), independent of k.
Thus, the median, which is the n/2th order statistic, can be found in
O(n), whereas the heap algorithm will find the median in O(n log n).

Dave

On Sep 6, 12:45 pm, Piyush Grover <piyush4u.iit...@gmail.com> wrote:
> this can be done using heap tree data structure.
>
> -create a max heap tree of first k elements (for finding kth min)
>  -keep on adding elements in the heap
> if the root element is greater than the current element, remove root element
> and insert the current element in the tree
> once done with n elements
> the root element will give the kth min element.
> Time complexity: O(nlogk)
> This method is very much effective for k << n (when k is a constant)
>
> Same can be done for kth max.
>
>
>
> On Tue, Sep 6, 2011 at 9:00 PM, Shravan Kumar <shrava...@gmail.com> wrote:
>
> >http://jonah.cs.elon.edu/sduvall2/courses/csc331/2006spring/Lectures/...
>
> > On Tue, Sep 6, 2011 at 7:53 PM, yamini gupta 
> > <adorableyamin...@gmail.com>wrote:
>
> >> partition the array using quick sort
> >> and find the kth smallest or largest number
>
> >> On Sep 6, 12:20 am, learner <nimish7andr...@gmail.com> wrote:
> >> > @Dave,All So Can Anyone Provide The Working Code in Linear Time for
> >> > the same ?
>
> >> > Thanks
>
> >> > On Sep 5, 6:41 pm, Dave <dave_and_da...@juno.com> wrote:
>
> >> > > @Sachin: Correct: in one quicksort pivoting pass, the array is
> >> > > rearranged so that the pivot element is put in the correct spot, with
> >> > > larger elements on the right and smaller ones on the left. Now, if the
> >> > > pivot, a[p], is at location k, i.e. p = k, then you are done. If not,
> >> > > do another quicksort on the correct side of p; i.e., either on a[0] to
> >> > > a[p-1] or on a[p+1] to a[n-1], depending on whether k is less than p
> >> > > or greater than p.
>
> >> > > Dave
>
> >> > > On Sep 5, 1:27 am, sachin goyal <monugoya...@gmail.com> wrote:
>
> >> > > > PLEASE TELL ME HOW WE CAN USE QUICK SORT TO FIND THE ELEMENT
> >> > > > BECAUSE IN QUICK SORT ONE ELEMENT IN SHIFT IN ITS RIGHT POSITION ALL
> >> LEFTS
> >> > > > ARE SMALLER AND ALL RIGHT ARE BIG
>
> >> > > > On Mon, Sep 5, 2011 at  POSIT11:55 AM, sachin goyal
> >> > > > <monugoya...@gmail.com>wrote:
>
> >> > > > > PLEASE TELL HOW
>
> >> > > > > On Sun, Sep 4, 2011 at 7:23 PM, sarath prasath <
> >> prasathsar...@gmail.com>wrote:
>
> >> > > > >> another sol which i learned from my friend is
> >> > > > >> think of heap sort...
>
> >> > > > >> On Sun, Sep 4, 2011 at 6:28 PM, learner <
> >> nimish7andr...@gmail.com> wrote:
>
> >> > > > >>> something I Know using quick sort randomization function we can
> >> find
> >> > > > >>> kt smallest/largest in unsorted array , but i am not able to
> >> write
> >> > > > >>> code , please help me in this and provide the code for the
> >> same.?
>
> >> > > > >>> Thanks
> >> > > > >>> Nimish K.
> >> > > > >>> 1st Year
> >> > > > >>> IITR
>
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