/*
     * eg: abc =>{a,bc},{b,ac},{c,ab}
     * =>{ca,b},{cb,a}
     * =>cba,cab
     * =>{ba,c},{bc,a}
     * =>bca,bac
     * =>{ab,c},{ac,b}
     * =>acb,abc
     */
    public void nonRecpermute(String prefix, String word)
    {
        String[] currentstr ={prefix,word};
        Stack<String[]> stack = new Stack<String[]>();
        stack.add(currentstr);
        while(!stack.isEmpty())
        {
            currentstr = stack.pop();
            String currentPrefix = currentstr[0];
            String currentWord = currentstr[1];
            if(currentWord.equals(""))
            {
                System.out.println("Word ="+currentPrefix);
            }
            for(int i=0;i<currentWord.length();i++)
            {
                String[] newstr = new String[2];
                newstr[0]=currentPrefix + String.valueOf(currentWord.charAt(i));
                newstr[1] = currentWord.substring(0, i);
                if(i<currentWord.length()-1)
                {
                    newstr[1] = newstr[1]+currentWord.substring(i+1);
                }
                stack.push(newstr);
            }

        }

    }

下面是一个简单的Java递归解决方案:

public static ArrayList<String> permutations(String s) {
    ArrayList<String> out = new ArrayList<String>();
    if (s.length() == 1) {
        out.add(s);
        return out;
    }
    char first = s.charAt(0);
    String rest = s.substring(1);
    for (String permutation : permutations(rest)) {
        out.addAll(insertAtAllPositions(first, permutation));
    }
    return out;
}
public static ArrayList<String> insertAtAllPositions(char ch, String s) {
    ArrayList<String> out = new ArrayList<String>();
    for (int i = 0; i <= s.length(); ++i) {
        String inserted = s.substring(0, i) + ch + s.substring(i);
        out.add(inserted);
    }
    return out;
}

Java中一个非常基本的解决方案是使用递归+设置(以避免重复)，如果你想存储和返回解决方案字符串:

public static Set<String> generatePerm(String input)
{
    Set<String> set = new HashSet<String>();
    if (input == "")
        return set;

    Character a = input.charAt(0);

    if (input.length() > 1)
    {
        input = input.substring(1);

        Set<String> permSet = generatePerm(input);

        for (String x : permSet)
        {
            for (int i = 0; i <= x.length(); i++)
            {
                set.add(x.substring(0, i) + a + x.substring(i));
            }
        }
    }
    else
    {
        set.add(a + "");
    }
    return set;
}

public class StringPermutation {

// Function to print all the permutations of str
static void printPermutn(String str, String ans) {

    // If string is empty
    if (str.length() == 0) {
        System.out.print(ans + " ");
        return;
    }

    for (int i = 0; i < str.length(); i++) {

        // ith character of str
        char ch = str.charAt(i);

        // Rest of the string after excluding
        // the ith character
        String ros = str.substring(0, i) + str.substring(i + 1);

        // Recurvise call
        printPermutn(ros, ans + ch);
    }
}


public static void main(String[] args) {
    String s = "ABC";
    printPermutn(s, "");
}

}

所有之前的贡献者都很好地解释和提供了代码。我想我也应该分享这个方法，因为它可能也会帮助到别人。解决方案基于(堆算法)

一些事情:

注意excel中最后一项的描述只是为了帮助你更好地可视化逻辑。因此，最后一列的实际值将是2,1,0(如果我们要运行代码，因为我们处理的是数组，而数组以0开头)。 交换算法基于当前位置的偶数或奇数值发生。如果你看一下swap方法被调用的位置，你就会明白这一点。你可以看到发生了什么。

事情是这样的:

public static void main(String[] args) {

        String ourword = "abc";
        String[] ourArray = ourword.split("");
        permute(ourArray, ourArray.length);

    }

    private static void swap(String[] ourarray, int right, int left) {
        String temp = ourarray[right];
        ourarray[right] = ourarray[left];
        ourarray[left] = temp;
    }

    public static void permute(String[] ourArray, int currentPosition) {
        if (currentPosition == 1) {
            System.out.println(Arrays.toString(ourArray));
        } else {
            for (int i = 0; i < currentPosition; i++) {
                // subtract one from the last position (here is where you are
                // selecting the the next last item 
                permute(ourArray, currentPosition - 1);

                // if it's odd position
                if (currentPosition % 2 == 1) {
                    swap(ourArray, 0, currentPosition - 1);
                } else {
                    swap(ourArray, i, currentPosition - 1);
                }
            }
        }
    }

这是一个具有O(n!)时间复杂度的算法，具有纯递归和直观。

public class words {
static String combinations;
public static List<String> arrlist=new ArrayList<>();
public static void main(String[] args) {
    words obj = new words();

    String str="premandl";
    obj.getcombination(str, str.length()-1, "");
    System.out.println(arrlist);

}


public void getcombination(String str, int charIndex, String output) {

    if (str.length() == 0) {
        arrlist.add(output);
        return ;
    }

    if (charIndex == -1) {
        return ;
    }

    String character = str.toCharArray()[charIndex] + "";
    getcombination(str, --charIndex, output);

    String remaining = "";

    output = output + character;

    remaining = str.substring(0, charIndex + 1) + str.substring(charIndex + 2);

    getcombination(remaining, remaining.length() - 1, output);

}

}