使用Set操作建模“依赖于其他选择的选择”更容易理解相关排列 使用依赖排列，可用的选择减少，因为位置被从左到右的选定字符填充。递归调用的终端条件是测试可用选择集是否为空。当满足终端条件时，置换完成，并存储到“结果”列表中。

public static List<String> stringPermutation(String s) {
    List<String> results = new ArrayList<>();
    Set<Character> charSet = s.chars().mapToObj(m -> (char) m).collect(Collectors.toSet());
    stringPermutation(charSet, "", results);
    return results;
}

private static void stringPermutation(Set<Character> charSet, 
        String prefix, List<String> results) {
    if (charSet.isEmpty()) {
        results.add(prefix);
        return;
    }
    for (Character c : charSet) {
        Set<Character> newSet = new HashSet<>(charSet);
        newSet.remove(c);
        stringPermutation(newSet, prefix + c, results);
    }
} 

该代码可以泛化为一组对象查找排列。在本例中，我使用了一组颜色。

public enum Color{
    ORANGE,RED,BULE,GREEN,YELLOW;
}

public static List<List<Color>> colorPermutation(Set<Color> colors) {
    List<List<Color>> results = new ArrayList<>();
    List<Color> prefix = new ArrayList<>();
    permutation(colors, prefix, results);
    return results;
}

private static <T> void permutation(Set<T> set, List<T> prefix, List<List<T>> results) {
    if (set.isEmpty()) {
        results.add(prefix);
        return;
    }
    for (T t : set) {
        Set<T> newSet = new HashSet<>(set);
        List<T> newPrefix = new ArrayList<>(prefix);
        newSet.remove(t);
        newPrefix.add(t);
        permutation(newSet, newPrefix, results);
    }
} 

测试代码。

public static void main(String[] args) {
    List<String> stringPerm = stringPermutation("abcde");
    System.out.println("# of permutations:" + stringPerm.size());
    stringPerm.stream().forEach(e -> System.out.println(e));

    Set<Color> colorSet = Arrays.stream(Color.values()).collect(Collectors.toSet());
    List<List<Color>> colorPerm = colorPermutation(colorSet);
    System.out.println("# of permutations:" + colorPerm.size());
    colorPerm.stream().forEach(e -> System.out.println(e));
}

简单的递归c++实现如下所示:

#include <iostream>

void generatePermutations(std::string &sequence, int index){
    if(index == sequence.size()){
        std::cout << sequence << "\n";
    } else{
        generatePermutations(sequence, index + 1);
        for(int i = index + 1 ; i < sequence.size() ; ++i){
            std::swap(sequence[index], sequence[i]);
            generatePermutations(sequence, index + 1);
            std::swap(sequence[index], sequence[i]);            
        }
    }
}

int main(int argc, char const *argv[])
{
    std::string str = "abc";
    generatePermutations(str, 0);
    return 0;
}

输出:

abc
acb
bac
bca
cba
cab

更新

如果想要存储结果，可以将vector作为函数调用的第三个参数传递。此外，如果您只想要唯一的排列，您可以使用集合。

#include <iostream>
#include <vector>
#include <set>

void generatePermutations(std::string &sequence, int index, std::vector <std::string> &v){
    if(index == sequence.size()){
        //std::cout << sequence << "\n";
        v.push_back(sequence);
    } else{
        generatePermutations(sequence, index + 1, v);
        for(int i = index + 1 ; i < sequence.size() ; ++i){
            std::swap(sequence[index], sequence[i]);
            generatePermutations(sequence, index + 1, v);
            std::swap(sequence[index], sequence[i]);            
        }
    }
}

int main(int argc, char const *argv[])
{
    std::string str = "112";
    std::vector <std::string> permutations;
    generatePermutations(str, 0, permutations);
    std::cout << "Number of permutations " << permutations.size() << "\n";
    for(const std::string &s : permutations){
        std::cout << s << "\n";
    }
    std::set <std::string> uniquePermutations(permutations.begin(), permutations.end());
    std::cout << "Number of unique permutations " << uniquePermutations.size() << "\n";
    for(const std::string &s : uniquePermutations){
        std::cout << s << "\n";
    }
    return 0;
}

输出:

Number of permutations 6
112
121
112
121
211
211
Number of unique permutations 3
112
121
211

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。

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;
}

简单的解决方案，利用swift语言的特点，数组是值类型。

func permutation(chrs: [String], arr: [String], result: inout [[String]]) {
   if arr.count == chrs.count {
       result.append(arr)
       return
   }

   for chr in chrs {
       var arr = arr
       if !arr.contains(chr) {
           arr.append(chr)
           permutation(chrs: chrs, arr: arr, result: &result)
       }
   }
}

func test() {
   var result = [[String]]()
   let chrs = ["a", "b", "c", "d"]
   permutation(chrs: chrs, arr: [], result: &result)
}

复杂度O(n * n!)