@shady : i am not sure , if u can do it with O(n) space as well it is fine
for me . but once try whether it is possible in O(1) space.

On 24 November 2011 05:42, shady <sinv...@gmail.com> wrote:

> "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 <rajkumar.cs...@gmail.com>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 <sinv...@gmail.com> wrote:
>>
>>> hashing is not that simple, can you tell your hash function ?
>>>
>>>
>>> On Thu, Nov 24, 2011 at 6:26 PM, ravu sairam <ravu...@gmail.com> 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,
>> 10it60...@iitkgp.ac.in
>>
>>
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-- 
Regards
Kumar Raja
M.Tech(SIT)
IIT Kharagpur,
10it60...@iitkgp.ac.in

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