http://coders-stop.blogspot.com/2010/12/kth-largest-element.html

On Mar 16, 12:18 pm, Srirang Ranjalkar <[email protected]> wrote:
> there are two ways to do it:
> 1.
>  if k <<< n, then simply have an array of size k. put the firsk k elements
> in the array and sort it. For each number you see which is less than arr[k],
> insert that number in the array and remove one element and sort it again. So
> by the end of the input you are left with k smallest elements and arr[k]
> gives you the kth smallest element.
> O(n.k.lgk) (assuming that sort is of order O(k.lgk))
>
> 2.
> Maintain a max heap of size K, populate it and when you see an element less
> than the max of the heap, insert it and call heapify(). That way by the end
> of your input sequence you'll be left with k smallest elements in the heap.
>
> Thank you,
> Srirang Ranjalkar
>
> --
> " Luck is when hard work meets opportunity "
>
> On Wed, Mar 16, 2011 at 12:38 PM, Sriram gupta <[email protected]>wrote:
>
> > Use Max - heap of size K.
>
> > On Wed, Mar 16, 2011 at 10:36 AM, DIPANKAR DUTTA <
> > [email protected]> wrote:
>
> >> use heap tree to slove this..
> >> plz see careercup post..
>
> >> On Wed, Mar 16, 2011 at 10:31 AM, Ankit Sinha <[email protected]>wrote:
>
> >>> Asked in Amazon interview..
>
> >>> Find the first K smallest element from 1 million sized array . Assume
> >>> your ram memory is so small that it cannot accommodate all 1 Million
> >>> element at once.
> >>> Guys provide your inputs on the same...
>
> >>> Thanks,
> >>> Ankit!!!!
>
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> >> --
> >> DIPANKAR DUTTA
> >> M-TECH,Computer Science & Engg.
> >> E&C Dept,IIT ROORKEE
> >> Uttarakhand , India – 247667
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