Please explain the algorithm in greater detail, or maybe show some
pseudocode. Thanks.

Dave

On Feb 1, 5:12 pm, hc busy <[EMAIL PROTECTED]> wrote:
> Uhhhh, well, there is an 2^(1+lg(D))-1 time algorithm that uses
> constant memory for a tree of size D. So, that's O(D).
>
> Just do df-traversal for all levels of the tree outputting only the
> nodes at current level.
>
> On Jan 31, 2:18 am, dor <[EMAIL PROTECTED]> wrote:
>
>
>
> > O(n) extra memory will suffice, and you already use O(n) memory to
> > store the tree, so I'm not sure what you mean by memory intensive.
> > It's certainly not the case that you will need a lot of additional
> > memory (otherwise, you could not store the tree in the first place).
>
> > An inorder traversal (which does not solve the problem as you noted)
> > would require just as much additional memory -- and so does every
> > other solution I could think of.
>
> > On Jan 30, 11:26 pm, DanielJohnson <[EMAIL PROTECTED]> wrote:
>
> > > I was trying to solve this problem where we have a binary tree given
> > > and we have to print the values of the tree level by level i.e. root
> > > node then its left child, right child, then left child's both left and
> > > right, then right child's both left and right.
>
> > > Since for very large tree using BFS can be memory intensive, so our
> > > restriction is not to use any queue data structure to perform BFS.
>
> > > I have thought of using inorder traversal with modified algorithm but
> > > I just figured that out that it fails in certain cases.
>
> > > Can anybody suggest an algorithm for this problem ?- Hide quoted text -
>
> - Show quoted text -
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