简短的java解决方案:

import java.util.Arrays;

public class Combination {
    public static void main(String[] args){
        String[] arr = {"A","B","C","D","E","F"};
        combinations2(arr, 3, 0, new String[3]);
    }

    static void combinations2(String[] arr, int len, int startPosition, String[] result){
        if (len == 0){
            System.out.println(Arrays.toString(result));
            return;
        }       
        for (int i = startPosition; i <= arr.length-len; i++){
            result[result.length - len] = arr[i];
            combinations2(arr, len-1, i+1, result);
        }
    }       
}

结果将是

[A, B, C]
[A, B, D]
[A, B, E]
[A, B, F]
[A, C, D]
[A, C, E]
[A, C, F]
[A, D, E]
[A, D, F]
[A, E, F]
[B, C, D]
[B, C, E]
[B, C, F]
[B, D, E]
[B, D, F]
[B, E, F]
[C, D, E]
[C, D, F]
[C, E, F]
[D, E, F]

Python中的简短示例:

def comb(sofar, rest, n):
    if n == 0:
        print sofar
    else:
        for i in range(len(rest)):
            comb(sofar + rest[i], rest[i+1:], n-1)

>>> comb("", "abcde", 3)
abc
abd
abe
acd
ace
ade
bcd
bce
bde
cde

为了解释，递归方法用下面的例子描述:

示例:A B C D E 3的所有组合是:

A与其余2的所有组合(B C D E) B与其余2的所有组合(C D E) C与其余2的所有组合(D E)

另一种python递归解决方案。

def combination_indicies(n, k, j = 0, stack = []):   
    if len(stack) == k:            
        yield list(stack)
        return
        
    for i in range(j, n):
        stack.append(i)
        for x in combination_indicies(n, k, i + 1, stack):            
            yield x
        stack.pop()  
        
list(combination_indicies(5, 3))

输出:

[[0, 1, 2],
 [0, 1, 3],
 [0, 1, 4],
 [0, 2, 3],
 [0, 2, 4],
 [0, 3, 4],
 [1, 2, 3],
 [1, 2, 4],
 [1, 3, 4],
 [2, 3, 4]]

c#简单算法。 (我发布它是因为我试图使用你们上传的那个，但由于某种原因我无法编译它——扩展一个类?所以我自己写了一个，以防别人遇到和我一样的问题)。 顺便说一下，除了基本的编程，我对c#没什么兴趣，但是这个工作得很好。

public static List<List<int>> GetSubsetsOfSizeK(List<int> lInputSet, int k)
        {
            List<List<int>> lSubsets = new List<List<int>>();
            GetSubsetsOfSizeK_rec(lInputSet, k, 0, new List<int>(), lSubsets);
            return lSubsets;
        }

public static void GetSubsetsOfSizeK_rec(List<int> lInputSet, int k, int i, List<int> lCurrSet, List<List<int>> lSubsets)
        {
            if (lCurrSet.Count == k)
            {
                lSubsets.Add(lCurrSet);
                return;
            }

            if (i >= lInputSet.Count)
                return;

            List<int> lWith = new List<int>(lCurrSet);
            List<int> lWithout = new List<int>(lCurrSet);
            lWith.Add(lInputSet[i++]);

            GetSubsetsOfSizeK_rec(lInputSet, k, i, lWith, lSubsets);
            GetSubsetsOfSizeK_rec(lInputSet, k, i, lWithout, lSubsets);
        }

GetSubsetsOfSizeK(set of type List<int>， integer k)

您可以修改它以遍历您正在处理的任何内容。

好运！

PowerShell解决方案:

function Get-NChooseK
{
    <#
    .SYNOPSIS
    Returns all the possible combinations by choosing K items at a time from N possible items.

    .DESCRIPTION
    Returns all the possible combinations by choosing K items at a time from N possible items.
    The combinations returned do not consider the order of items as important i.e. 123 is considered to be the same combination as 231, etc.

    .PARAMETER ArrayN
    The array of items to choose from.

    .PARAMETER ChooseK
    The number of items to choose.

    .PARAMETER AllK
    Includes combinations for all lesser values of K above zero i.e. 1 to K.

    .PARAMETER Prefix
    String that will prefix each line of the output.

    .EXAMPLE
    PS C:\> Get-NChooseK -ArrayN '1','2','3' -ChooseK 3
    123

    .EXAMPLE
    PS C:\> Get-NChooseK -ArrayN '1','2','3' -ChooseK 3 -AllK
    1
    2
    3
    12
    13
    23
    123

    .EXAMPLE
    PS C:\> Get-NChooseK -ArrayN '1','2','3' -ChooseK 2 -Prefix 'Combo: '
    Combo: 12
    Combo: 13
    Combo: 23

    .NOTES
    Author : nmbell
    #>

    # Use cmdlet binding
    [CmdletBinding()]

    # Declare parameters
    Param
    (

        [String[]]
        $ArrayN

    ,   [Int]
        $ChooseK

    ,   [Switch]
        $AllK

    ,   [String]
        $Prefix = ''

    )

    BEGIN
    {
    }

    PROCESS
    {
        # Validate the inputs
        $ArrayN = $ArrayN | Sort-Object -Unique

        If ($ChooseK -gt $ArrayN.Length)
        {
            Write-Error "Can't choose $ChooseK items when only $($ArrayN.Length) are available." -ErrorAction Stop
        }

        # Control the output
        $firstK = If ($AllK) { 1 } Else { $ChooseK }

        # Get combinations
        $firstK..$ChooseK | ForEach-Object {

            $thisK = $_

            $ArrayN[0..($ArrayN.Length-($thisK--))] | ForEach-Object {
                If ($thisK -eq 0)
                {
                    Write-Output ($Prefix+$_)
                }
                Else
                {
                    Get-NChooseK -Array ($ArrayN[($ArrayN.IndexOf($_)+1)..($ArrayN.Length-1)]) -Choose $thisK -AllK:$false -Prefix ($Prefix+$_)
                }
            }

        }
    }

    END
    {
    }

}

例如:

PS C:\>Get-NChooseK -ArrayN 'A','B','C','D','E' -ChooseK 3
ABC
ABD
ABE
ACD
ACE
ADE
BCD
BCE
BDE
CDE

最近在IronScripter网站上发布了一个类似于这个问题的挑战，在那里你可以找到我的链接和其他一些解决方案。

我们可以用比特的概念来做这个。假设我们有一个字符串“abc”，我们想要所有长度为2的元素的组合(即“ab”，“ac”，“bc”)。

我们可以在1到2^n(排他性)的数字中找到集合位。这里是1到7，只要我们设置了bits = 2，我们就可以从string中输出相应的值。

例如:

1 - 001 二零零一 3011 ->印刷ab (str[0]， str[1]) 四到一百。 5 - 101 ->打印ac (str[0]， str[2]) 6 - 110 ->印刷ab (str[1]， str[2]) 7 - 111。

代码示例:

public class StringCombinationK {   
    static void combk(String s , int k){
        int n = s.length();
        int num = 1<<n;
        int j=0;
        int count=0;

        for(int i=0;i<num;i++){
            if (countSet(i)==k){
                setBits(i,j,s);
                count++;
                System.out.println();
            }
        }

        System.out.println(count);
    }

    static void setBits(int i,int j,String s){ // print the corresponding string value,j represent the index of set bit
        if(i==0){
            return;
        }

        if(i%2==1){
            System.out.print(s.charAt(j));                  
        }

        setBits(i/2,j+1,s);
    }

    static int countSet(int i){ //count number of set bits
        if( i==0){
            return 0;
        }

        return (i%2==0? 0:1) + countSet(i/2);
    }

    public static void main(String[] arhs){
        String s = "abcdefgh";
        int k=3;
        combk(s,k);
    }
}