@Lucifer : yes even i found flaw in the above algo when i gave it a second
thought but didnt get time to post it.
bcoz min heap has property that the parent node is less than its both
child(subtree to be more precise ) but it does not confirm  that left child
is always smaller than right child of the node.

On Thu, Dec 15, 2011 at 10:31 PM, Lucifer <sourabhd2...@gmail.com> wrote:

> @All
>
> I don't think the algo given above is entirely correct.. Or may be i
> didn't it properly...
>
> So basically say a preorder traversal of the heap is done based on
> whether the current root value < X. As the algo says that at any point
> if k>0 and we hit a node value which is >=X , then we are done. If i
> understood it properly then thats not correct.
>
> The reason being that say on the left subtree we end up at a node
> whose value is >=x and say k > 0. Now until and unless we don't parse
> the right subtree (or basically the right half which was neglected as
> part of pre-order traversal or say was to be considered later) we are
> not sure if the current node is actually withing the first smallest K
> nos. It may happen that previously neglected (or rather later to be
> processed) half has the kth smallest element which is actually < X.
> The reason being that a heap is not a binary search tree where there
> is a strict relation between the left and the right half so that we
> can say that if say a condition P is true in the left half then it
> will be false in the right half and vice versa.
>
> To solve the problem we need to do a pre-order  traversal keeping the
> following conditions in mind: (pass K and root node)
>
> 1) If current node is >= X then skip the processing of the tree rooted
> at the current node.
>
> 2) If current node is < X , then decrement K by 1 and process its
> childs ( i.e take step 1 for rach child).
>
> The result will depend on:
>
> a) If at any stage recursion ends and the value of K>0 then the kth
> smallest element is >= X.
>  b) If during tree traversal the value of K reaches 0, that means
> there are atleast k elements which are < X. Hence, at this point
> terminate the recursion ( as in no need to continue). This result
> signifies that the kth smallest element < X.
>
> Therefore to generalize...
>
> Perform a preorder traversal for root node < X, and keep decrementing
> the count K by 1.
> If K reaches 0 during traversal then end the recursion.
>
> After the call to the recursive traversal is over, check for the value
> of K. If greater than 0, then the kth smallest element >= X otherwise
> its not.
>
> The time complexity will always be 2K ( in the worst case basically
> when K value reaches 0 ). If u analyze it closely we are making 2
> checks when at particular node for its children. Hence, whether both
> the child nodes have value < X or one of them or node, at the end we
> always end up making 2 checks for the children (left and right child).
> So given any tree one can think of a null node as a leaf node
> ( depicting that the node has a value >=X) . Hence, for any given bin-
> tree having nodes 'N', the number null nodes is 'N+1'. Hence, the
> total number of checks will be 2N+1 = O(2N) ,
>
>
> On Dec 15, 1:00 pm, WgpShashank <shashank7andr...@gmail.com> wrote:
> > @sunny why we look at all k number which are greater then x , correct ?
> > Lets think in this way
> >
> > we wants to check if kth smallest element in heap thats >=x  isn't it ?
> so
> > if root of mean heap is greater then x then none other elements will less
> > then x so we terminate .
> > else our algorithm  will search children of all the nodes which are less
> > then x  till either we have found k of them or we are exhausted e.g. when
> > k=0 . so we will cal our function to both left & right children ?
> >
> > so now think we are looking for children's of only nodes which are less
> > then x and at most k of these in tottal . each have atmost two visited
> > childrens so we have visted at-most 3K nodes isn;t it ? for total time
> O(K)
> > ?
> >
> > let me know where i am wrong ? i am not getting for uy k nodes greater
> then
> > x ? why we will do that & then how much comparisons u needs for that ?
> >
> > Thanks
> > Shashank Mani
> > CSE, BIT Mesrahttp://shashank7s.blogspot.com/
>
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