@atul..
Its an explanation of the logic not the actual code...

You can use the following code to implement the same..

A[i,j] = A[i-1, j];
if ( A[i, j] == 0 and j - W[i] >=0)
  A[i, j] = A[i -1, j - W[i]];


On Jan 7, 9:45 pm, atul anand <atul.87fri...@gmail.com> wrote:
> @Lucifer : thats ok....but you are using bitwise OR to fill up the array
> A[].
> if condition does not fullfill then wat to do to fill A[i,j] ??
>
> i guess take it 0 if it does not fullfill..
>
> A[i , j] = A[i-1, j]  |  0     //     A[ i-1 , j - W[i] ] check fail
>
> i didnt read your whole algorithm so i am taking this assumption , correct
> me if i am wrong
>
>
>
>
>
>
>
> On Sat, Jan 7, 2012 at 10:03 PM, Lucifer <sourabhd2...@gmail.com> wrote:
> > @atul..
>
> > I thought that check would be obvious as i didn't put in the code.. so
> > when the code is written for the second option we need to also check
> > for j-W[i] >=0..
> > :)...
>
> > On Jan 7, 9:15 pm, atul007 <atul.87fri...@gmail.com> wrote:
> > > @Lucifier:
>
> > > i guess you made some editing mistake :-
>
> > > Initialize the array with the following values,
> > > 1) A[0, j] = 0 for  1 <= j <= Wmax
> > > 2) A[i, 0] = 1 for  0 <= i <= Wmax  // it shoud be 1 for  0 <= i <=N
>
> > > about this equation :-
>
> > > A[i , j] = A[i-1, j]  |  A[ i-1 , j - W[i] ]
>
> > > say if W[i]=10 and j=3 , i =2;
> > > then it would be accessing A[1][3-10] i.e A[1][-7] ..... dat would be
> > > wrong.
>
> > > On Dec 7 2011, 6:40 pm, Lucifer <sourabhd2...@gmail.com> wrote:
>
> > > > I have modified some part of the above post below to avoid confusion
> > > > regarding the generation of all subsets:
>
> > > > Say, we need to find all the subsets which led to A[N, K] = 1, to do
> > > > this we will take the following steps :
>
> > > > a) If  ( i == 0 ) print the subset and return.
>
> > > > b) if A[N -1 , K] = 1,
> > > >       b1) then W[N] doesn't belong to the subset , continue
> > > > recursively ( goto step a).
> > > >       b2) goto step c.
> > > >     else goto step c.
>
> > > > c) if A[N -1 , K - W[N] ] = 1,  then W[N] belongs to the subset ,
> > > > continue recursively ( goto step a) .
> > > >     else return.
>
> > > > On Dec 7, 6:29 pm, Lucifer <sourabhd2...@gmail.com> wrote:
>
> > > > > I have an idea, i think it can be done in O(N * Wmax).
>
> > > > > Let the weight array  be W[N].
>
> > > > > Take an array A[N][Wmax] , where N is the no. of weights provided and
> > > > > Wmax is the max weight.
>
> > > > > Initialize the array with the following values,
> > > > > 1) A[0, j] = 0 for  1 <= j <= Wmax
> > > > > 2) A[i, 0] = 1 for  0 <= i <= Wmax
>
> > > > > Now, if an A[i , j] = 1, that means using the first "i" weights it is
> > > > > possible pick a subset whose sum is "j",
> > > > > else if  A[i , j] = 0, then it not possible to have subset of first
> > > > > "i" weights whose sum would sum up to "j".
>
> > > > > Now, to solve the above problem we can use the following equation,
>
> > > > > A[i , j] = A[i-1, j] or A[ i-1 , j - W[i] ]
>
> > > > > Using the above equation calculate all values A[i, j] where 1 <= i <=
> > > > > N and 1 <= j <= Wmax.
>
> > > > > Now,
> > > > > Scan A[N, j] from right to left  ( Wmax >= j >= 0 ) till you get a
> > > > > value of 1, let the found column index be "K".
> > > > > A[N, K] = 1,  basically signifies the maximum sum that you can make
> > > > > which is "K".
>
> > > > > Now that you have the maximum sum <= Wmax which can be made i.e "K",
> > > > > the next problem will be 2 figure all the subsets.
> > > > > To find all the subsets backtrack based on the equation given above
> > > > > and record the weights for which A[i, j] = 1,
> > > > > i.e.
> > > > > Say, we need to find all the subsets which led to A[N, K] = 1, to do
> > > > > this we will check for,
> > > > > a) if A[N -1 , K] = 1, then W[N] doesn't belong to the subset ,
> > > > > continue recursively.
> > > > > b) if A[N -1 , K - W[N] ] = 1, then W[N] belongs to the subset ,
> > > > > continue recursively.
>
> > > > > Hence,
> > > > > To find the max value it will take O( N * Wmax) + O( Wmax)
> > > > > To find all the subsets, it will take O( X * Y) where, x is the no.
> > of
> > > > > subsets and y is the average no. of elements in it.
>
> > > > > On Dec 5, 5:09 pm, Shashank Narayan <shashank7andr...@gmail.com>
> > > > > wrote:
>
> > > > > > @piyuesh 3-Sum is not exponential ? its quadratic , check wiki for
> > refrence
> > > > > > ?
>
> > > > > > On Mon, Dec 5, 2011 at 5:36 PM, Piyush Grover <
> > piyush4u.iit...@gmail.com>wrote:
>
> > > > > > > As I mentioned earlier solution with exponential time-complexity
> > is the
> > > > > > > obvious one. Is there any way to solve this problem by
> > greedy/Dynamic algo?
>
> > > > > > > On Mon, Dec 5, 2011 at 5:24 PM, WgpShashank <
> > shashank7andr...@gmail.com>wrote:
>
> > > > > > >> @piyuesh , Saurabh isn't 3-Sum Suffics Here ?
>
> > > > > > >> Another thought problem can also be thought by generating power
> > set of
> > > > > > >> given set e.g. if set has n elemnts its power set has  2^n
> > elements , then
> > > > > > >> finds the set that has sum up yo given weight isn't it ?  hope
> > you know how
> > > > > > >> to find power set efficiently ?
>
> > > > > > >> correct if is missed anything ?
>
> > > > > > >> Thanks
> > > > > > >> Shashank
> > > > > > >> Computer Science
> > > > > > >> BIT Mesra
> > > > > > >>http://www.facebook.com/wgpshashank
> > > > > > >>http://shashank7s.blogspot.com/
>
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