ya rite....

On Wed, Mar 4, 2009 at 5:31 PM, Prunthaban <pruntha...@gmail.com> wrote:

>
> @sharad - Your solution is O(n) Miroslav's solution is O(logn).
> And what are you doing with the 'j' variable in your solution? Why not
> simply use a[i] == k then c = i. That is what eventually your solution
> is doing and it is O(n).
>
>
>
> On Mar 4, 4:32 pm, sharad kumar <aryansmit3...@gmail.com> wrote:
> > pls tell wats difference btwn increasing and non decresing sorted
> > array.question clearly tells n sorted array.......
> >
> > On Wed, Mar 4, 2009 at 4:55 PM, Miroslav Balaz <gpsla...@googlemail.com
> >wrote:
> >
> > > of course, you cannot assume that array is in ascending order, it is in
> > > non-decreasing order however not in ascending
> > > and you should swap order here :(a[mid+1] > key||mid==high)
> >
> > > 2009/3/4 Kapil <navka...@gmail.com>
> >
> > >> just fixing a bug
> >
> > >> what if you write bin_search as this
> > >> //assumption array is in ascending order
> > >> binsearch(high, low, key, a)
> > >> begin
> > >>  if low > high
> > >>   return -1
> > >>  mid = (high+low)/2
> > >>  if a[mid] = key And (a[mid+1] > key||mid==high)
> > >>    return mid
> > >>  if a[mid] <= key
> > >>   low = mid+1
> > >>  else
> > >>   high = mid - 1
> > >>  return binsearch(high,low,key,a)
> > >> end
> >
> > >> On Mar 4, 3:46 pm, Kapil <navka...@gmail.com> wrote:
> > >> > what if you write bin_search as this
> > >> > //assumption array is in ascending order
> > >> > binsearch(high, low, key, a)
> > >> > begin
> > >> >  if low > high
> > >> >    return -1
> > >> >  mid = (high+low)/2
> > >> >  if a[mid] = key And a[mid+1] > key
> > >> >    return mid
> > >> >  if a[mid] <= key
> > >> >    low = mid+1
> > >> >  else
> > >> >    high = mid - 1
> > >> >  return binsearch(high,low,key,a)
> > >> > end
> >
>

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