@Gene

Your algo is also right...Just that I followed techcoders logic and coded
the same...pair I used to map the index of the element ..But urs working
fine too :)

On Wed, Nov 23, 2011 at 7:04 PM, Gene <gene.ress...@gmail.com> wrote:

> Sorry I forgot to initialize p. It's fixed below.
>
> On Nov 23, 6:59 am, Gene <gene.ress...@gmail.com> wrote:
> > Thanks. Maybe I'm not reading correctly, but tech coder's algorithm
> > doesn't mention anything about pairs, which are necessary to obtain
> > O(n).  This is what I meant by "almost."
> >
> > In reverse order, you don't need the pairs. Its simpler.
> >
> > In a subroutine like yours,
> >
> > void find_smaller_to_right(int *a, int n)
> > {
> >   int i, in, p=0, stk[n]; // C99 var length array
> >   for (i = n - 1; i >= 0; i--) {
> >     in = a[i];
> >     while (p > 0 && stk[p - 1] >= in) p--;  // pop
> >     a[i] = (p > 0) ? stk[p - 1] : 0;
> >     stk[p++] = in;  // push
> >   }
> >
> > }
> >
> > On Nov 23, 5:13 am, Ankur Garg <ankurga...@gmail.com> wrote:
> >
> >
> >
> > > Solution given by tech coder is fine and is working .. I coded it and
> its
> > > working perfectly using stack
> >
> > > On Wed, Nov 23, 2011 at 2:50 PM, Gene <gene.ress...@gmail.com> wrote:
> > > > It's a nice problem, and this solution is almost right.
> >
> > > > Process the input in _reverse_ order, which means we'll also generate
> > > > output in reverse order.
> >
> > > > The invariant is that the stack is a sorted list - highest value on
> > > > top - of the strictly descending subsequence of elements seen so far
> > > > in reverse.
> >
> > > > So when we get a new input, we want to search backward through the
> > > > stack to find the first smaller element. This is handy however,
> > > > because the new input also means that when we search past an element,
> > > > it's too big to maintain the invariant, so it must be popped!  We can
> > > > both find the output value and update the stack at the same time:
> >
> > > > stack = empty
> > > > for next input I in _reverse order_
> > > >  while stack not empty and top of stack is >= I
> > > >    pop and throw away top of stack
> > > >  if stack is empty, output is zero
> > > >  else output top of stack
> > > >  push I
> > > > end
> >
> > > > Since each item is pushed and popped no more than once, this is O(n).
> >
> > > > Here's your example:
> >
> > > > #include <stdio.h>
> >
> > > > int main(void)
> > > > {
> > > >  int in[] = { 1, 5, 7, 6, 3, 16, 29, 2, 7 };
> > > >  int n = sizeof in / sizeof *in - 1;
> > > >  int out[100], stk[100], p = 0, i;
> >
> > > >  for (i = n - 1; i >= 0; i--) {
> > > >    while (p && stk[p - 1] >= in[i]) p--;
> > > >    out[i] = (p > 0) ? stk[p - 1] : 0;
> > > >    stk[p++] = in[i];
> > > >  }
> > > >  for (i = 0; i < n; i++) printf(" %d", out[i]);
> > > >  printf("\n");
> > > >  return 0;
> > > > }
> >
> > > > On Nov 22, 2:20 pm, Aamir Khan <ak4u2...@gmail.com> wrote:
> > > > > On Tue, Nov 22, 2011 at 11:50 PM, tech coder <
> techcoderonw...@gmail.com
> > > > >wrote:
> >
> > > > > > here is an O(n) approach  using  a stack.
> >
> > > > > > problem can be stated as " find the 1st smaller element on the
> right.
> >
> > > > > > put the first element in stack.
> > > > > > take next element suppose "num"  if this number is less than
> elements
> > > > > >  stored in stack, pop those elements , for these pooped elements
>  num
> > > > will
> > > > > > be the required number.
> > > > > > put the the element (num)   in stack.
> >
> > > > > > repeat this.
> >
> > > > > > at last the elements which are in next , they will have 0
> (valaue)
> >
> > > > > > @techcoder : If the numbers are not in sorted order, What
> benefit the
> >
> > > > > stack would provide ? So, are you storing the numbers in sorted
> order
> > > > > inside the stack ?
> >
> > > > > I can think of this solution :
> >
> > > > > Maintain a stack in which the elements will be stored in sorted
> order.
> > > > Get
> > > > > a new element from array and lets call this number as m. Push m
> into the
> > > > > stack. Now, find all elements which are <= (m-1) using binary
> search. Pop
> > > > > out all these elements and assign the value m in the output array.
> > > > Elements
> > > > > remaining at the end will have the value 0.
> >
> > > > > I am not sure about the complexity of this algorithm...
> >
> > > > > > On Wed, Nov 23, 2011 at 12:02 AM, Anup Ghatage <
> ghat...@gmail.com>
> > > > wrote:
> >
> > > > > >> I can't think of a better than O(n^2) solution for this..
> > > > > >> Any one got anything better?
> >
> > > > > >> On Tue, Nov 22, 2011 at 8:23 PM, Ankuj Gupta <
> ankuj2...@gmail.com>
> > > > wrote:
> >
> > > > > >>> Input: A unsorted array of size n.
> > > > > >>> Output: An array of size n.
> >
> > > > > >>> Relationship:
> >
> > > > > >>> > elements of input array and output array have 1:1
> correspondence.
> > > > > >>> > output[i] is equal to the input[j] (j>i) which is smaller
> than
> > > > > >>> input[i] and jth is nearest to ith ( i.e. first element which
> is
> > > > smaller).
> > > > > >>> > If no such element exists for Input[i] then output[i]=0.
> >
> > > > > >>> Eg.
> > > > > >>> Input: 1 5 7 6 3 16 29 2 7
> > > > > >>> Output: 0 3 6 3 2 2 2 0 0
> >
> > > > > >>> --
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> >
> > > > > >> --
> > > > > >> Anup Ghatage
> >
> > > > > >>  --
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> > > > > > --
> > > > > > *
> >
> > > > > >  Regards*
> > > > > > *"The Coder"*
> >
> > > > > > *"Life is a Game. The more u play, the more u win, the more u
> win , the
> > > > > > more successfully u play"*
> >
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> >
> > > > > --
> > > > > Aamir Khan | 3rd Year  | Computer Science & Engineering | IIT
> Roorkee
> >
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