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);
}

/*
     * 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);
            }

        }

    }

这是另一个更简单的方法来做一个字符串的排列。

public class Solution4 {
public static void main(String[] args) {
    String  a = "Protijayi";
  per(a, 0);

}

static void per(String a  , int start ) {
      //bse case;
    if(a.length() == start) {System.out.println(a);}
    char[] ca = a.toCharArray();
    //swap 
    for (int i = start; i < ca.length; i++) {
        char t = ca[i];
        ca[i] = ca[start];
        ca[start] = t;
        per(new String(ca),start+1);
    }

}//per

}

在python中

def perms(in_str, prefix=""):
if not len(in_str) :
    print(prefix)
else:        
    for i in range(0, len(in_str)):
        perms(in_str[:i] + in_str[i + 1:], prefix + in_str[i])

perms('ASD')

基于Heap算法的我的实现:

import java.util.ArrayList;
import java.util.List;

public class PermutationString {
public static List<String> permute(char[] str, int n) {
    List<String> permutations = new ArrayList<>();
    if (n == 1) {
        permutations.add(new String(str));
    }
    else {
        for (int i = 0; i < n; i++) {
            permutations.addAll(permute(str, n-1));
            if (n % 2 == 0) {
                swap(str, i, n-1);
            }
            else {
                swap(str, 0, n-1);
            }
        }
    }
    return permutations;
}


public static void swap(char[] str, int i, int j) {
    char temp = str[i];
    str[i] = str[j];
    str[j] = temp;
}

public static void main(String[] args) {

    List<String> permutations = permute("abcdefgh".toCharArray(), 8);

    System.out.println(permutations);

}
}

时间复杂度为O(n!* n)， O(n)为空间复杂度。

没有递归的Java实现

public Set<String> permutate(String s){
    Queue<String> permutations = new LinkedList<String>();
    Set<String> v = new HashSet<String>();
    permutations.add(s);

    while(permutations.size()!=0){
        String str = permutations.poll();
        if(!v.contains(str)){
            v.add(str);
            for(int i = 0;i<str.length();i++){
                String c = String.valueOf(str.charAt(i));
                permutations.add(str.substring(i+1) + c +  str.substring(0,i));
            }
        }
    }
    return v;
}