我想提出我的解决方案。在next中没有递归调用，也没有嵌套循环。 代码的核心是next()方法。

public class Combinations {
    final int pos[];
    final List<Object> set;

    public Combinations(List<?> l, int k) {
        pos = new int[k];
        set=new ArrayList<Object>(l);
        reset();
    }
    public void reset() {
        for (int i=0; i < pos.length; ++i) pos[i]=i;
    }
    public boolean next() {
        int i = pos.length-1;
        for (int maxpos = set.size()-1; pos[i] >= maxpos; --maxpos) {
            if (i==0) return false;
            --i;
        }
        ++pos[i];
        while (++i < pos.length)
            pos[i]=pos[i-1]+1;
        return true;
    }

    public void getSelection(List<?> l) {
        @SuppressWarnings("unchecked")
        List<Object> ll = (List<Object>)l;
        if (ll.size()!=pos.length) {
            ll.clear();
            for (int i=0; i < pos.length; ++i)
                ll.add(set.get(pos[i]));
        }
        else {
            for (int i=0; i < pos.length; ++i)
                ll.set(i, set.get(pos[i]));
        }
    }
}

用法示例:

static void main(String[] args) {
    List<Character> l = new ArrayList<Character>();
    for (int i=0; i < 32; ++i) l.add((char)('a'+i));
    Combinations comb = new Combinations(l,5);
    int n=0;
    do {
        ++n;
        comb.getSelection(l);
        //Log.debug("%d: %s", n, l.toString());
    } while (comb.next());
    Log.debug("num = %d", n);
}

像Andrea Ambu一样用Python写的，但不是硬编码来选择三个。

def combinations(list, k):
    """Choose combinations of list, choosing k elements(no repeats)"""
    if len(list) < k:
        return []
    else:
        seq = [i for i in range(k)]
        while seq:
            print [list[index] for index in seq]
            seq = get_next_combination(len(list), k, seq)

def get_next_combination(num_elements, k, seq):
        index_to_move = find_index_to_move(num_elements, seq)
        if index_to_move == None:
            return None
        else:
            seq[index_to_move] += 1

            #for every element past this sequence, move it down
            for i, elem in enumerate(seq[(index_to_move+1):]):
                seq[i + 1 + index_to_move] = seq[index_to_move] + i + 1

            return seq

def find_index_to_move(num_elements, seq):
        """Tells which index should be moved"""
        for rev_index, elem in enumerate(reversed(seq)):
            if elem < (num_elements - rev_index - 1):
                return len(seq) - rev_index - 1
        return None   

下面是c++中的迭代算法，它不使用STL，也不使用递归，也不使用条件嵌套循环。这样更快，它不执行任何元素交换，也不会给堆栈带来递归负担，还可以通过分别用mallloc()、free()和printf()替换new、delete和std::cout轻松地移植到ANSI C。

如果你想用不同或更长的字母显示元素，那么改变*字母参数以指向不同于"abcdefg"的字符串。

void OutputArrayChar(unsigned int* ka, size_t n, const char *alphabet) {
    for (int i = 0; i < n; i++)
        std::cout << alphabet[ka[i]] << ",";
    std::cout << endl;
}
    

void GenCombinations(const unsigned int N, const unsigned int K, const char *alphabet) {
    unsigned int *ka = new unsigned int [K];  //dynamically allocate an array of UINTs
    unsigned int ki = K-1;                    //Point ki to the last elemet of the array
    ka[ki] = N-1;                             //Prime the last elemet of the array.
    
    while (true) {
        unsigned int tmp = ka[ki];  //Optimization to prevent reading ka[ki] repeatedly

        while (ki)                  //Fill to the left with consecutive descending values (blue squares)
            ka[--ki] = --tmp;
        OutputArrayChar(ka, K, alphabet);
    
        while (--ka[ki] == ki) {    //Decrement and check if the resulting value equals the index (bright green squares)
            OutputArrayChar(ka, K, alphabet);
            if (++ki == K) {      //Exit condition (all of the values in the array are flush to the left)
                delete[] ka;
                return;
            }                   
        }
    }
}
    

int main(int argc, char *argv[])
{
    GenCombinations(7, 4, "abcdefg");
    return 0;
}

重要提示:字母参数*必须指向至少N个字符的字符串。你也可以传递一个在其他地方定义的字符串地址。

组合:从“7选4”中选择。

我想提出我的解决方案。在next中没有递归调用，也没有嵌套循环。 代码的核心是next()方法。

public class Combinations {
    final int pos[];
    final List<Object> set;

    public Combinations(List<?> l, int k) {
        pos = new int[k];
        set=new ArrayList<Object>(l);
        reset();
    }
    public void reset() {
        for (int i=0; i < pos.length; ++i) pos[i]=i;
    }
    public boolean next() {
        int i = pos.length-1;
        for (int maxpos = set.size()-1; pos[i] >= maxpos; --maxpos) {
            if (i==0) return false;
            --i;
        }
        ++pos[i];
        while (++i < pos.length)
            pos[i]=pos[i-1]+1;
        return true;
    }

    public void getSelection(List<?> l) {
        @SuppressWarnings("unchecked")
        List<Object> ll = (List<Object>)l;
        if (ll.size()!=pos.length) {
            ll.clear();
            for (int i=0; i < pos.length; ++i)
                ll.add(set.get(pos[i]));
        }
        else {
            for (int i=0; i < pos.length; ++i)
                ll.set(i, set.get(pos[i]));
        }
    }
}

用法示例:

static void main(String[] args) {
    List<Character> l = new ArrayList<Character>();
    for (int i=0; i < 32; ++i) l.add((char)('a'+i));
    Combinations comb = new Combinations(l,5);
    int n=0;
    do {
        ++n;
        comb.getSelection(l);
        //Log.debug("%d: %s", n, l.toString());
    } while (comb.next());
    Log.debug("num = %d", n);
}

也许我错过了重点(你需要的是算法，而不是现成的解决方案)，但看起来scala已经开箱即用了(现在):

def combis(str:String, k:Int):Array[String] = {
  str.combinations(k).toArray 
}

使用这样的方法:

  println(combis("abcd",2).toList)

会产生:

  List(ab, ac, ad, bc, bd, cd)

下面是一个coffeescript实现

combinations: (list, n) ->
        permuations = Math.pow(2, list.length) - 1
        out = []
        combinations = []

        while permuations
            out = []

            for i in [0..list.length]
                y = ( 1 << i )
                if( y & permuations and (y isnt permuations))
                    out.push(list[i])

            if out.length <= n and out.length > 0
                combinations.push(out)

            permuations--

        return combinations