@hemesh, amol = correct solutions

ABCDEF another problem on SPOJ, incase people want to try.

On Sun, Jun 24, 2012 at 2:13 AM, Sourabh Singh <singhsourab...@gmail.com>wrote:

> @ Amol Sharma
>
> thanx got it..
>
> yup, overlooked those case's :-) my bad..
>
>
> On Sat, Jun 23, 2012 at 1:31 PM, Amol Sharma <amolsharm...@gmail.com>wrote:
>
>> @sourabh:
>> for this particular question..
>> in your code replace
>>
>> if(binary_search(c,c+size,-b[i]))
>>     count++;
>>
>> by
>>
>> count+=upper_bound(c,c+size,-b[i])-lower_bound(c,c+size,-b[i]);
>>
>> you are actually missing some of the quadruples....as there can be more
>> than one element with value -b[i] in the array c and you are actually
>> ignoring them.
>>  --
>>
>>
>> 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 Sun, Jun 24, 2012 at 1:22 AM, Sourabh Singh 
>> <singhsourab...@gmail.com>wrote:
>>
>>> @ALL
>>>
>>>  O(n^2 lg(n^2))
>>>
>>> http://www.spoj.pl/problems/SUMFOUR/
>>>
>>> my code :
>>> http://ideone.com/kAPNB
>>>
>>> plz. suggest some test case's :
>>>
>>> On Sat, Jun 23, 2012 at 6:59 AM, Amol Sharma <amolsharm...@gmail.com>wrote:
>>>
>>>> @bhaskar,rammar:
>>>>
>>>> I don't think your algo willn not work for the following test case --
>>>>
>>>>
>>>> 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
>>>>
>>>> --
>>>>
>>>>
>>>> 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 Fri, Jun 22, 2012 at 11:45 PM, Bhaskar Kushwaha <
>>>> bhaskar.kushwaha2...@gmail.com> wrote:
>>>>
>>>>> We first compute the N^2 two sums, and sort the two sums. The for each
>>>>> TwoSum t, we check whether there is another two sum t' such that t.value +
>>>>> t'.value = target. The time complexity of this approach is O(N^2 logN)
>>>>>
>>>>>
>>>>> On Wed, Jun 20, 2012 at 1:36 AM, rammar <getam...@gmail.com> wrote:
>>>>>
>>>>>> Lets see ur example... We can have two other arrays corresponding to
>>>>>> our n^2 array.
>>>>>> For every (target-arr[i]) which we search in our look up array, we
>>>>>> can also search the components which were used to get that sum. This can 
>>>>>> be
>>>>>> done in addition constant amount search.
>>>>>> I hope we can still go with Hemesh's algo. Please let me know if it
>>>>>> breaks somewhere...
>>>>>>
>>>>>> let's take a test case :
>>>>>> arr        : 2   4   6    8
>>>>>> arr[0]    : 6   8   10   10   12   14
>>>>>> arr[1]    : 2   2    2     4     4    6
>>>>>> arr[2]    : 4   6    8     6     8    8
>>>>>>
>>>>>>
>>>>>> P.S. Can we do better?
>>>>>>
>>>>>> On Wednesday, June 20, 2012 12:22:52 AM UTC+5:30, Amol Sharma wrote:
>>>>>>>
>>>>>>> @rammar:
>>>>>>> can you please explain the case...which i took in the earlier
>>>>>>> post..with this method.
>>>>>>>
>>>>>>> --
>>>>>>>
>>>>>>>
>>>>>>> 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 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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>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Regards,
>>>>>>>>>
>>>>>>>>> Jalaj Jaiswal
>>>>>>>>> Software Engineer,
>>>>>>>>>  Zynga Inc
>>>>>>>>> +91-9019947895
>>>>>>>>> *
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>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> regards,
>>>>> Bhaskar Kushwaha
>>>>> Student
>>>>> CSE
>>>>> Third year
>>>>> M.N.N.I.T.  Allahabad
>>>>>
>>>>>
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