Perl版本(前导答案):

use strict;

sub subset_sum {
  my ($numbers, $target, $result, $sum) = @_;

  print 'sum('.join(',', @$result).") = $target\n" if $sum == $target;
  return if $sum >= $target;

  subset_sum([@$numbers[$_ + 1 .. $#$numbers]], $target, 
             [@{$result||[]}, $numbers->[$_]], $sum + $numbers->[$_])
    for (0 .. $#$numbers);
}

subset_sum([3,9,8,4,5,7,10,6], 15);

结果:

sum(3,8,4) = 15
sum(3,5,7) = 15
sum(9,6) = 15
sum(8,7) = 15
sum(4,5,6) = 15
sum(5,10) = 15

Javascript版本:

const subsetSum = (numbers, target, partial = []， sum = 0) => { If (sum < target) 数字。forEach((num, i) => subsetSum(数字。Slice (i + 1)， target, partial.concat([num])， sum + num)); Else if (sum == target) console.log(的总和(% s) = % s, partial.join(),目标); ｝ subsetSum([3、9、8、4、5、7、10、6],15);

Javascript一行实际返回结果(而不是打印它):

const subsetSum = (n, t, p = [], s = 0, r = []) = > (s < t ? n.forEach ((l i) = > subsetSum (n.slice (i + 1), t,[……p、l], s + l r)): s = = t ? r.push (p): 0, r); console.log (subsetSum([3、9、8、4、5、7、10、6],15));

我最喜欢的是带有回调的一行语句:

const subsetSum = (n, t,辛西娅·布雷齐尔,p =黑铝,s = 0) = > s & lt; t ? n.forEach ((l, i) = > subsetSum (n.slice (i + 1)、t、辛西娅·布雷齐尔,黑... p, l铝,s + l)): s = = t ?辛西娅·布雷齐尔(p): 0; 子集（[3,9,8,4,5,7,10,6]，15,console.log）；

另一个python解决方案是使用itertools.combination模块，如下所示:

#!/usr/local/bin/python

from itertools import combinations

def find_sum_in_list(numbers, target):
    results = []
    for x in range(len(numbers)):
        results.extend(
            [   
                combo for combo in combinations(numbers ,x)  
                    if sum(combo) == target
            ]   
        )   

    print results

if __name__ == "__main__":
    find_sum_in_list([3,9,8,4,5,7,10], 15)

输出:[(8,7)，(5,10)，(3,8,4)，(3,5,7)]

Perl版本(前导答案):

use strict;

sub subset_sum {
  my ($numbers, $target, $result, $sum) = @_;

  print 'sum('.join(',', @$result).") = $target\n" if $sum == $target;
  return if $sum >= $target;

  subset_sum([@$numbers[$_ + 1 .. $#$numbers]], $target, 
             [@{$result||[]}, $numbers->[$_]], $sum + $numbers->[$_])
    for (0 .. $#$numbers);
}

subset_sum([3,9,8,4,5,7,10,6], 15);

结果:

sum(3,8,4) = 15
sum(3,5,7) = 15
sum(9,6) = 15
sum(8,7) = 15
sum(4,5,6) = 15
sum(5,10) = 15

Javascript版本:

const subsetSum = (numbers, target, partial = []， sum = 0) => { If (sum < target) 数字。forEach((num, i) => subsetSum(数字。Slice (i + 1)， target, partial.concat([num])， sum + num)); Else if (sum == target) console.log(的总和(% s) = % s, partial.join(),目标); ｝ subsetSum([3、9、8、4、5、7、10、6],15);

Javascript一行实际返回结果(而不是打印它):

const subsetSum = (n, t, p = [], s = 0, r = []) = > (s < t ? n.forEach ((l i) = > subsetSum (n.slice (i + 1), t,[……p、l], s + l r)): s = = t ? r.push (p): 0, r); console.log (subsetSum([3、9、8、4、5、7、10、6],15));

我最喜欢的是带有回调的一行语句:

const subsetSum = (n, t,辛西娅·布雷齐尔,p =黑铝,s = 0) = > s & lt; t ? n.forEach ((l, i) = > subsetSum (n.slice (i + 1)、t、辛西娅·布雷齐尔,黑... p, l铝,s + l)): s = = t ?辛西娅·布雷齐尔(p): 0; 子集（[3,9,8,4,5,7,10,6]，15,console.log）；

import java.util.*;

public class Main{

     int recursionDepth = 0;
     private int[][] memo;

     public static void main(String []args){
         int[] nums = new int[] {5,2,4,3,1};
         int N = nums.length;
         Main main =  new Main();
         main.memo = new int[N+1][N+1];
         main._findCombo(0, N-1,nums, 8, 0, new LinkedList() );
         System.out.println(main.recursionDepth);
     }


       private void _findCombo(
           int from,
           int to,
           int[] nums,
           int targetSum,
           int currentSum,
           LinkedList<Integer> list){

            if(memo[from][to] != 0) {
                currentSum = currentSum + memo[from][to];
            }

            if(currentSum > targetSum) {
                return;
            }

            if(currentSum ==  targetSum) {
                System.out.println("Found - " +list);
                return;
            }

            recursionDepth++;

           for(int i= from ; i <= to; i++){
               list.add(nums[i]);
               memo[from][i] = currentSum + nums[i];
               _findCombo(i+1, to,nums, targetSum, memo[from][i], list);
                list.removeLast();
           }

     }
}

这是R中的一个解

subset_sum = function(numbers,target,partial=0){
  if(any(is.na(partial))) return()
  s = sum(partial)
  if(s == target) print(sprintf("sum(%s)=%s",paste(partial[-1],collapse="+"),target))
  if(s > target) return()
  for( i in seq_along(numbers)){
    n = numbers[i]
    remaining = numbers[(i+1):length(numbers)]
    subset_sum(remaining,target,c(partial,n))
  }
}

c#版本的@msalvadores代码的答案

void Main()
{
    int[] numbers = {3,9,8,4,5,7,10};
    int target = 15;
    sum_up(new List<int>(numbers.ToList()),target);
}

static void sum_up_recursive(List<int> numbers, int target, List<int> part)
{
   int s = 0;
   foreach (int x in part)
   {
       s += x;
   }
   if (s == target)
   {
        Console.WriteLine("sum(" + string.Join(",", part.Select(n => n.ToString()).ToArray()) + ")=" + target);
   }
   if (s >= target)
   {
        return;
   }
   for (int i = 0;i < numbers.Count;i++)
   {
         var remaining = new List<int>();
         int n = numbers[i];
         for (int j = i + 1; j < numbers.Count;j++)
         {
             remaining.Add(numbers[j]);
         }
         var part_rec = new List<int>(part);
         part_rec.Add(n);
         sum_up_recursive(remaining,target,part_rec);
   }
}
static void sum_up(List<int> numbers, int target)
{
    sum_up_recursive(numbers,target,new List<int>());
}