@all: If we are doing inorder traversal , it will automatically take O(n)
space for internal stack.

On Mon, Sep 3, 2012 at 5:17 PM, atul anand <[email protected]> wrote:

> @ashish : i.e in decreasing order
>
> inorder(root)
>    if not null
>          inorder(root->right);
>          inorder(root->left);
>
>
> On Mon, Sep 3, 2012 at 4:35 PM, Rahul Kumar Patle <
> [email protected]> wrote:
>
>> @dave same doubt as @atul, how we can manage both function parallel
>> and to all can we traverse a tree using some looping instead of
>> traditional recursive methods..??
>>
>> On Mon, Sep 3, 2012 at 1:13 PM, atul anand <[email protected]>wrote:
>>
>>> @Dave : algo seems fine...but it seems to me that it would difficult to
>>> maintain both left to right and right to left parallel way :( :( .
>>> it would be gr8 if you can provided little bit of coded algorithm for it.
>>>
>>>
>>> On Mon, Sep 3, 2012 at 10:36 AM, Dave <[email protected]> wrote:
>>>
>>>> @Atul007: No need to destroy the BST. Perform two simultaneous inorder
>>>> traversals of the BST, one from left to right (the usual direction) and one
>>>> from right to left. At any stage you have selected two nodes. If the sum is
>>>> less than the given number, advance the left-to-right traversal; If the sum
>>>> is greater, advance the right-to-left traversal. Quit with success when the
>>>> sum equals the given number or with failure when the two traversals have
>>>> reached the same node.
>>>> Dave
>>>>
>>>> On Sunday, September 2, 2012 11:00:42 PM UTC-5, atul007 wrote:
>>>>
>>>>> convert BST to sorted DLL..
>>>>> now it is a double linked list , so we can find 2 number in O(n)  time
>>>>> by keeping 2 pointers(one at start and one at end) from sorted DLL.
>>>>> now convert DLL to BST.
>>>>>
>>>>>  On Mon, Sep 3, 2012 at 1:32 AM, Navin Kumar <[email protected]>wrote:
>>>>> MICROSOFT:Given a BST and a number. Find two node in a BST whose sum
>>>>> is equal to given number in O(n) time and O(1) space.
>>>>>
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>>
>>
>> --
>> Thanks and Regards:
>> Rahul Kumar 
>> Patle<http://www.linkedin.com/profile/view?id=106245716&trk=tab_pro>
>> M.Tech, School of Information Technology
>> Indian Institute of Technology, Kharagpur-721302, 
>> India<http://www.iitkgp.ac.in/>
>> Mobile No: +91-8798049298, +91-9424738542
>> Alternate Email: [email protected]
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