How about:
void part(const int a[], int n_a, int g1[], int g2[])
{
int i, j, k;
/* diff = sum(g1) - sum(g2) */
int diff;
sort(a, n_a);
diff = 0;
for (i = 0, j = n_a - 1, k = 0; i < j; ++k, ++i, --j)
{
if ((a[i] > a[j]) == (diff > 0))
{
g1[k] = a[j];
g2[k] = a[i];
}
else
{
g1[k] = a[i];
g2[k] = a[j];
}
diff += g1[k] - g2[k];
}
}
On May 14, 2:30 pm, Amir hossein Shahriari
<amir.hossein.shahri...@gmail.com> wrote:
> @karas: your solution is greedy and its wrong e.g. for {1,2,3,4,5,100} your
> diff would be 95 but the best result is 91
>
> i think we can solve this problem by dynamic programming but not a simple
> one! since the size of the two subsets must be equal.
> so it's DP solution has at least 3 dimensions: tow dimensions representing
> the number of elements in each subset and another for the difference between
> their sums
>
>
>
> On Fri, May 14, 2010 at 10:11 PM, W Karas <wka...@yahoo.com> wrote:
> > On May 14, 4:51 am, divya <sweetdivya....@gmail.com> wrote:
> > > Algorithm to partition set of numbers into two s.t. diff bw their
> > > sum is min and they hav equal num of elements
>
> > void part(const int a[], int n_a, int g1[], int g2[])
> > {
> > int i, j, k;
>
> > /* diff = sum(g1) - sum(g2) */
> > int diff;
>
> > sort(a, n_a);
>
> > diff = 0;
> > for (i = 0, j = 1, k = 0; j < n_a; ++k, i += 2, j += 2)
> > {
> > if ((a[i] > a[j]) == (diff > 0))
> > {
> > g1[k] = a[j];
> > g2[k] = a[i];
> > }
> > else
> > {
> > g1[k] = a[i];
> > g2[k] = a[j];
> > }
> > diff += g1[k] - g2[k];
> > }
> > }
>
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