这是一个更快的解决方案，因为它不受字符串连接计算复杂度O(n^2)的影响。另一方面它是无循环的，完全递归的

public static void main(String[] args) {
    permutation("ABCDEFGHIJKLMNOPQRSTUVWXYZ");
}

private static void permutation(String str) {
    char[] stringArray = str.toCharArray();
    printPermutation(stringArray, 0, stringArray.length, 0, 1);
}

private static void printPermutation(char[] string, int loopCounter, int length, int indexFrom, int indexTo) {
    // Stop condition
    if (loopCounter == length)
        return;

    /* 
     When reaching the end of the array:
     1- Reset loop indices.
     2- Increase length counter. 
    */ 
    if (indexTo == length) {
        indexFrom = 0;
        indexTo = 1;
        ++loopCounter;
    }

    // Print.
    System.out.println(string);

    // Swap from / to indices.
    char temp = string[indexFrom];
    string[indexFrom] = string[indexTo];
    string[indexTo] = temp;

    // Go for next iteration.
    printPermutation(string, loopCounter, length, ++indexFrom, ++indexTo);
}

我定义了左右两个字符串。一开始，左边是输入字符串，右边是“”。我递归地从左边选择所有可能的字符，并将其添加到右边的末尾。然后，在left-charAt(I)和right+charAt(I)上调用递归函数。我定义了一个类来跟踪生成的排列。

import java.util.HashSet;
import java.util.Set;

public class FindPermutations {

    static class Permutations {
        Set<String> permutations = new HashSet<>();
    }

    /**
     * Building all the permutations by adding chars of left to right one by one.
     *
     * @param left         The left string
     * @param right        The right string
     * @param permutations The permutations
     */
    private void findPermutations(String left, String right, Permutations permutations) {
        int n = left.length();
        if (n == 0) {
            permutations.permutations.add(right);
        }
        for (int i = 0; i < n; i++) {
            findPermutations(left.substring(0, i) + left.substring(i + 1, n), right + left.charAt(i), permutations);
        }
    }

    /**
     * Gets all the permutations of a string s.
     *
     * @param s The input string
     * @return all the permutations of a string s
     */
    public Permutations getPermutations(String s) {
        Permutations permutations = new Permutations();
        findPermutations(s, "", permutations);
        return permutations;
    }

    public static void main(String[] args) {
        FindPermutations findPermutations = new FindPermutations();
        String s = "ABC";
        Permutations permutations = findPermutations.getPermutations(s);
        printPermutations(permutations);
    }

    private static void printPermutations(Permutations permutations) {
        for (String p : permutations.permutations) {
            System.out.println(p);
        }
    }

}

我希望这能有所帮助。

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, "");
}

}

public static void permutation(String str) { 
    permutation("", str); 
}

private static void permutation(String prefix, String str) {
    int n = str.length();
    if (n == 0) System.out.println(prefix);
    else {
        for (int i = 0; i < n; i++)
            permutation(prefix + str.charAt(i), str.substring(0, i) + str.substring(i+1, n));
    }
}

(通过Java编程入门)

让我试着用Kotlin来解决这个问题:

fun <T> List<T>.permutations(): List<List<T>> {
    //escape case
    if (this.isEmpty()) return emptyList()

    if (this.size == 1) return listOf(this)

    if (this.size == 2) return listOf(listOf(this.first(), this.last()), listOf(this.last(), this.first()))

    //recursive case
    return this.flatMap { lastItem ->
        this.minus(lastItem).permutations().map { it.plus(lastItem) }
    }
}

核心概念:将长链表分解成小链表+递归

长答案与示例列表[1,2,3,4]:

即使是一个4种组合的列表，在脑海中列出所有可能的排列已经有点令人困惑了，我们需要做的就是避免这种情况。我们很容易理解如何对大小为0、1和2的列表进行排列，因此我们所需要做的就是将它们分解为这些大小中的任何一个，并将它们正确地组合起来。想象一台头奖机器:这个算法将从右向左旋转，然后写下

当列表大小为0或1时，返回空/列表为1 当列表大小为2时处理(例如[3,4])，并生成2个排列([3,4]& [4,3]) 对于每一项，将其标记为最后一项中的最后一项，并找到列表中其余项目的所有排列。(例如，把[4]放在桌子上，把[1,2,3]重新排列) 现在对它的子元素进行所有的排列，把它自己放回列表的末尾(例如:[1,2,3][，4]，[1,3,2][，4]，[2,3,1][，4]，…)

递归是不必要的，甚至你可以直接计算任何排列，这个解决方案使用泛型来排列任何数组。

这里有关于这个algorihtm的很好的信息。

对于c#开发人员来说，这里有更有用的实现。

public static void main(String[] args) {
    String word = "12345";

    Character[] array = ArrayUtils.toObject(word.toCharArray());
    long[] factorials = Permutation.getFactorials(array.length + 1);

    for (long i = 0; i < factorials[array.length]; i++) {
        Character[] permutation = Permutation.<Character>getPermutation(i, array, factorials);
        printPermutation(permutation);
    }
}

private static void printPermutation(Character[] permutation) {
    for (int i = 0; i < permutation.length; i++) {
        System.out.print(permutation[i]);
    }
    System.out.println();
}

该算法计算每个排列的时间和空间复杂度为O(N)。

public class Permutation {
    public static <T> T[] getPermutation(long permutationNumber, T[] array, long[] factorials) {
        int[] sequence = generateSequence(permutationNumber, array.length - 1, factorials);
        T[] permutation = generatePermutation(array, sequence);

        return permutation;
    }

    public static <T> T[] generatePermutation(T[] array, int[] sequence) {
        T[] clone = array.clone();

        for (int i = 0; i < clone.length - 1; i++) {
            swap(clone, i, i + sequence[i]);
        }

        return clone;
    }

    private static int[] generateSequence(long permutationNumber, int size, long[] factorials) {
        int[] sequence = new int[size];

        for (int j = 0; j < sequence.length; j++) {
            long factorial = factorials[sequence.length - j];
            sequence[j] = (int) (permutationNumber / factorial);
            permutationNumber = (int) (permutationNumber % factorial);
        }

        return sequence;
    }

    private static <T> void swap(T[] array, int i, int j) {
        T t = array[i];
        array[i] = array[j];
        array[j] = t;
    }

    public static long[] getFactorials(int length) {
        long[] factorials = new long[length];
        long factor = 1;

        for (int i = 0; i < length; i++) {
            factor *= i <= 1 ? 1 : i;
            factorials[i] = factor;
        }

        return factorials;
    }
}