@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




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Amol Sharma
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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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