@rammar:
can you please explain the case...which i took in the earlier post..with
this method.

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Amol Sharma
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MNNIT Allahabad

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On Tue, Jun 19, 2012 at 11:27 PM, rammar <getam...@gmail.com> wrote:

> @Hemesh +1
>
>   Please correct me if i am wrong.
>   Creation of our look up array a[n*n] -> sum of all the pairs will take
> O(n^2).
>   Search using binary sort or quick sort in O(n^2 log (n^2) )  == O(n^2
> log n)
>   We will traverse this array, and for every element we will find (target
> - a[i])  -> This traversal will again take O(n^2).
>               For every (target -a[i]) we will search it in our lookup
> array using binary search -> This will take O(log n^2) = O(2log n) = O(log
> n)
>   We will store all the matched for the target.
>
> Final complexity = O(n^2) + O(n^2 log n) + O(n^2)*O(log n)   == O (n^2 log
> n)
>   If the values of max of a[n] is not very high, we can go with a hash
> map. This will result in a quick look up. And we can get the answer in
> O(n^2).
>
>
> P.S. Can we do better?
>
>
> On Monday, June 18, 2012 6:10:33 PM UTC+5:30, Jalaj wrote:
>>
>> @KK and hemesh
>> target is not a constant value , it can be any element in array , so you
>> need to do binary search for all (array[i] - (a+b)) to find which increases
>> the complexity to n^3logn.
>> So, i think the n^3 approach which i gave before do it ??
>>
>> ------   Correct me if m wrong
>>
>> On Mon, Jun 18, 2012 at 2:58 PM, Amol Sharma <amolsharm...@gmail.com>wrote:
>>
>>> @hemesh,kk:
>>>
>>> let's take a test case :
>>> arr        : 2 4 6 8
>>> arr^2     : 6 8 10 10 12 14            (sum of each unique pair in
>>> arr[i])
>>>
>>> let's say target sum is 26
>>>
>>> your solution will return true as they 12+14=26 but in 12 and 14, 8 is
>>> common, infact 26  is not possible in the given array
>>>
>>> can u please elaborate how will you take care of such situation ?
>>>
>>> @jalaj:
>>> yes it's O( (n^3)*logn)
>>>
>>> @bhavesh:
>>> fyi..
>>> log(n^3)=3*log(n)=O(log(n))
>>> so it's same.. :P
>>>
>>>
>>>
>>>
>>>
>>> --
>>>
>>>
>>> Amol Sharma
>>> Final Year Student
>>> Computer Science and Engineering
>>> MNNIT Allahabad
>>>
>>> <http://gplus.to/amolsharma99> 
>>> <http://twitter.com/amolsharma99><http://in.linkedin.com/pub/amol-sharma/21/79b/507><http://www.simplyamol.blogspot.com/><http://facebook.com/amolsharma99>
>>>
>>>
>>>
>>>
>>>
>>>
>>> On Mon, Jun 18, 2012 at 12:29 AM, KK <kunalkapadi...@gmail.com> wrote:
>>>
>>>> @Hemesh : +1
>>>> @Jalaj : read Hemesh's solution again it is for 4sum.
>>>> In short, make a new array having sum of each unique pair of given
>>>> array. -> O(n^2)
>>>> sort it -> O(n^2)
>>>> for each number bi in new array, binary search (target - bi) in the
>>>> same array -> O(n^2)
>>>>
>>>>
>>>> On Sunday, 17 June 2012 12:41:40 UTC+5:30, Jalaj wrote:
>>>>>
>>>>> The solution which hemesh gave was solution to 3SUM hard problem the
>>>>> best solution for which can be achieved in n^2 .
>>>>> And the original question is a kind of 4SUM hard problem for which
>>>>> best possible solution i think is again n^3 and Amol what you told is not
>>>>> n^3 , finding all triplets will itself take n^3 and doing a binary search
>>>>> again that sums upto n^3*logn.
>>>>>
>>>>> @shashank it is not a variation of 3SUM problem as in 3SUM problem
>>>>> a+b+c = some constant , but in your case it is "b+c+d = s-a", where a can
>>>>> change again and again so if you do even apply 3SUM logic to it you will
>>>>> have to do it for every a which will make it n^2*n = n^3
>>>>>
>>>>>
>>>>>
>>>>> On Sat, Jun 16, 2012 at 2:45 AM, sanjay pandey <
>>>>> sanjaypandey...@gmail.com> wrote:
>>>>>
>>>>>> @hemesh cud u plz elaborate wat is   b[k]=a[i]+a[j]...n also ur
>>>>>> solution...
>>>>>>
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>>
>> Jalaj Jaiswal
>> Software Engineer,
>>  Zynga Inc
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