yeah, you're right. thank you  and  is it the optimal solution about this
question?

On Thu, Dec 2, 2010 at 1:08 AM, Dave <dave_and_da...@juno.com> wrote:

> @Fenghuang: No. You don't have to search for b for every a, or more
> precisely, you don't have to search for a j for every i. Something
> like this should work for step 3:
>
> i = 0
> j = k-1
> repeat while i <= j
>    if asq[i] + asq[j] < asq[k] then i = i+1
>    else if asq[i] + asq[j] > asq[k] then j = j-1
>    else break
> end repeat
> if i <= j then you have found an i, j, and k satisfying the desired
> relationship;
> otherwise, no such i and j exist for this k.
>
> This loop is O(n). Surround this with a loop over k and precede that
> loop with a sort to get Senthilnathan's algorithm. So, as he says, the
> whole task is O(n log n + n^2) = O(n^2).
>
> Dave
>
> On Dec 1, 10:11 am, fenghuang <fenghaungyuyi...@gmail.com> wrote:
> > should it be O(n^2*lgn)? for each x in n, it's O(n), and for each a,
> > it'sO(n), and searching b, it's O(lgn), so it's O(n*n*lgn),Thank You!
> >
> > On Wed, Dec 1, 2010 at 11:02 PM, Senthilnathan Maadasamy <
> >
> >
> >
> > senthilnathan.maadas...@gmail.com> wrote:
> > > Hi,
> > >       How about the following approach?
> >
> > > Step 1:  Replace each array element with its square  -  O(n)
> >
> > > Step 2:  Sort the array  -  O(n*log(n))
> >
> > > Step 3: For each element x in the array
> > >                     Find two elements a, b in the array (if any) such
> that
> > > a+b = x.
> > >              Since finding two such elements can be done in O(n) time
> in a
> > > sorted array, the complexity of this step 3 is O(n^2).
> >
> > > While reporting the output you can take the square root and print it
> out.
> >
> > > Total complexity is O(n^2).
> >
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