Finding all numbers that sum to a specified target number (integer partition)

Question

First i want to say i'm still learning so my programming skills are not very good, and i'm willing to accept any advice you have. Second i'm still learning english so i want to say sorry for the inconvenience.

Well my problem is this, i need help improving my algorithm or any information about it, i don't know what words use for searching this.

The algorithm is supposed to find all the combinations of numbers that added is equal to a given number. Example: if i have the number 6 my results are supposed to be: [1,5],[2,4],[2,2,2],[3,3]

i have the following:

public List<List<int>> discompose(int number)
    {
        List<List<int>> discomposedPairs = new List<List<int>>();
        if (number <= 3)
            return discomposedPairs;
        int[] numsForCombine = new int[number-1];
        for(int i = 1; i < number;i++){
            numsForCombine[i - 1] = i;
        }
        int ini = 0;
        int end = numsForCombine.Length - 1;
        while (ini <= end)
        {
            List<int> pair = new List<int>();
            pair.Add(numsForCombine[ini++]);
            pair.Add(numsForCombine[end--]);
            discomposedPairs.Add(pair);
        }
        return discomposedPairs;
    }
    public List<List<int>> discomposePair(List<int> pair)
    {
        List<List<int>> parDisc = new List<List<int>>();
        for (int i = 0; i < pair.Count; i++) {
            if (pair[i] > 3)
            {
                List<List<int>> disc = discomposeList(discompose(pair[i]));
                foreach (List<int> item in disc)
                {
                    if (i > 0)
                    {
                        var temp = pair.GetRange(0, i);
                        temp.AddRange(item);
                        parDisc.Add(temp);
                    } else {
                        item.AddRange(pair.GetRange(i+1, pair.Count-(i+1)));
                        parDisc.Add(item);
                    }
                }
            }
        }
        return parDisc;
    }
    public List<List<int>> discomposeList(List<List<int>> list)
    {
        List<List<int>> mainDiscomposedList = new List<List<int>>();
        for (int i = 0; i < list.Count; i++)
        {
            mainDiscomposedList.Add(list[i]);
           List<List<int>> discomposedSubset = discomposePair(list[i]);
            foreach(List<int> item in discomposedSubset){
                mainDiscomposedList.Add(item);
            }
        }
        return mainDiscomposedList;
    }

The first method descompose the number given in pairs that added are equal the number given. The second and the third method are the ugliest they are recursive and have bucles so they don't have any good performance. Between the two generates a List with numbers as i the problem says but there are a few inconvenients: 1) Don't have good performance 2) Gives a lot of repetitive sequences here is the output for the number 10

[2,8,]
[2,2,6,]
[2,2,2,4,]
[2,2,2,2,2,]
[2,2,3,3,]
[2,3,5,]
[2,3,2,3,]<-------------repeated
[2,4,4,]
[2,2,2,4,]<-------------repeated
[2,4,2,2,]<-------------repeated
[3,7,]
[3,2,5,]<-------------repeated
[3,2,2,3,]<-------------repeated
[3,3,4,]
[3,3,2,2,]
[4,6,]
[2,2,6,]<-------------repeated
[4,2,4,]<-------------repeated
[4,2,2,2,]<-------------repeated
[4,3,3,]<-------------repeated
[5,5,]
[2,3,5,]<-------------repeated
[5,2,3,]<-------------repeated

Finally i want to improve the performance and have the less possible repeated items being a repeated item [1,1,3], [1,3,1], [3,1,1] [Here is the full project link]1

Answer 1

Here's one approach that first builds the combinations into a tree structure, then arranges them into lists of ints:

internal class Combination
{
    internal int Num;
    internal IEnumerable<Combination> Combinations;
}

internal static IEnumerable<Combination> GetCombinationTrees(int num, int max)
{
    return Enumerable.Range(1, num)
                     .Where(n => n <= max)
                     .Select(n =>
                         new Combination
                         {
                             Num = n,
                             Combinations = GetCombinationTrees(num - n, n)
                         });
}

internal static IEnumerable<IEnumerable<int>> BuildCombinations(
                                               IEnumerable<Combination> combinations)
{
    if (combinations.Count() == 0)
    {
        return new[] { new int[0] };
    }
    else
    {
        return combinations.SelectMany(c =>
                              BuildCombinations(c.Combinations)
                                   .Select(l => new[] { c.Num }.Concat(l))
                            );
    }
}

public static IEnumerable<IEnumerable<int>> GetCombinations(int num)
{
    var combinationsList = GetCombinationTrees(num, num);

    return BuildCombinations(combinationsList);
}

public static void PrintCombinations(int num)
{
    var allCombinations = GetCombinations(num);
    foreach (var c in allCombinations)
    {
        Console.WriteLine(string.Join(", ", c));
    }
}

When run with the input value 6, this produces:

1, 1, 1, 1, 1, 1
2, 1, 1, 1, 1
2, 2, 1, 1
2, 2, 2
3, 1, 1, 1
3, 2, 1
3, 3
4, 1, 1
4, 2
5, 1
6