"find it in O(n) time and O(1) space",
are you sure that it is possible to do it in O(n) time ?

On Thu, Nov 24, 2011 at 6:59 PM, kumar raja <[email protected]>wrote:

> @ravu sairam:
>
> Suppose the hashing is banned ,now what is ur solution???
> Hashing is quite theoretical concept with time complexity O(1).
>
> But it will not be the case every time.so suggest some other better
> solution
>
> I used to thought of using count array ,but again its size is not O(n),
> its size should be  max-min+1 .
> and it looks odd. so even if someone want to provide linear time solution
> using extra space in O(n)  it is welcome...
>
>
> On 24 November 2011 05:13, shady <[email protected]> wrote:
>
>> hashing is not that simple, can you tell your hash function ?
>>
>>
>> On Thu, Nov 24, 2011 at 6:26 PM, ravu sairam <[email protected]> wrote:
>>
>>> I have an O(n) space and time solution by using hashing . Firstly,
>>> make a hash table by using a hash function for each of the number in
>>> the array. After that, go through the hash table to see whether there
>>> are any repetitions for the same entry.
>>>
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>
>
>
> --
> Regards
> Kumar Raja
> M.Tech(SIT)
> IIT Kharagpur,
> [email protected]
>
>
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