I've just been reading
MJD's Higher Order Perl, which gives the development for the similar "sums to exactly X" problem (but I don't have the book with me to quote directly).
Alternatively, there's Algorithm::Knapsack, but it claims it's brute force, and doesn't handle complex data structures.
Perhaps following the lead of HOP wrt callbacks, you can convert A::K to something more generally useful?
Update: HOP gives this solution for the exact partition problem (p 206):
# Usage: @list = partition( $some_target, \@list );
sub partition {
my ($target, $treasures) = @_;
return [] if $target == 0;
return () if $target < 0 || @$treasures == 0;
my ($first, @rest) = @$treasures;
my @solutions = partition($target-$first, \@rest);
return ((map{[$first,@$_]} @solutions),
partition($target, \@rest));
}
MJD goes on to improve on this in various ways, but that should suit you for now :)
(Unfortunately, the HOP examples website isn't up yet, so I had to type this in by hand, and it's untested.)
-QM
--
Quantum Mechanics: The dreams stuff is made of
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