生成给定字符串的所有排列

基于Mark Byers上面的描述，我的实现如下：

    static Set<String> permutations(String str){
        if (str.isEmpty()){
            return Collections.singleton(str);
        }else{
            Set <String> set = new HashSet<>();
            for (int i=0; i<str.length(); i++)
                for (String s : permutations(str.substring(0, i) + str.substring(i+1)))
                    set.add(str.charAt(i) + s);
            return set;
        }
    }

这是一个更快的解决方案，因为它不会遭受字符串串联计算复杂度O(n^2)的困扰。另一方面，它循环自由，完全递归。

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);
}

使用递归的简单Python解决方案。

def get_permutations(string):

    # base case
    if len(string) <= 1:
        return set([string])

    all_chars_except_last = string[:-1]
    last_char = string[-1]

    # recursive call: get all possible permutations for all chars except last
    permutations_of_all_chars_except_last = get_permutations(all_chars_except_last)

    # put the last char in all possible positions for each of the above permutations
    permutations = set()
    for permutation_of_all_chars_except_last in permutations_of_all_chars_except_last:
        for position in range(len(all_chars_except_last) + 1):
            permutation = permutation_of_all_chars_except_last[:position] + last_char + permutation_of_all_chars_except_last[position:]
            permutations.add(permutation)

    return permutations

根据Mark Byers的答案，我的Python实现如下：

def permutations(string):
    if len(string) == 1:
        return [string]
    permutations=[]
    for i in range(len(string)):
        for perm in permutations(string[:i]+string[i+1:]):
            permutations.append(string[i] + perm)
    return permutations

这是一个C语言的解决方案：

#include <stdio.h>
#include <string.h>
#include <math.h>
#include <stdlib.h>


char* addLetter(char* string, char *c) {
    char* result = malloc(sizeof(string) + 2);
    strcpy(result, string);
    strncat(result, c, 1);
    return result;
}

char* removeLetter(char* string, char *c) {
    char* result = malloc(sizeof(string));
    int j = 0;
    for (int i = 0; i < strlen(string); i++) {
        if (string[i] != *c) {
            result[j++] = string[i];
        }
    }
    result[j] = '\0';

    return result;
}

void makeAnagram(char *anagram, char *letters) {

    if (*letters == '\0') {
        printf("%s\n", anagram);
        return;
    }

    char *c = letters;
    while (*c != '\0') {
        makeAnagram(addLetter(anagram, c),
                    removeLetter(letters, c));
        c++;
    }

}

int main() {

    makeAnagram("", "computer");

    return 0;
}

递归 Python 解决方案

def permute(input_str):
    _permute("", input_str)

def _permute(prefix, str_to_permute):
    if str_to_permute == '':
        print(prefix)

    else:
        for i in range(len(str_to_permute)): 
            _permute(prefix+str_to_permute[i], str_to_permute[0:i] + str_to_permute[i+1:])

if __name__ == '__main__':
    permute('foobar')

使用集合操作来模拟“基于其他选择而选择”的情况，这比理解依赖排列要容易得多。
使用依赖排列，随着从左到右选择的字符被填充到位置中，可用选择会减少。递归调用的终止条件是测试可用选择集是否为空。当满足终止条件时，排列就被完成并存储到“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);
    }
} 

这段代码可以推广到一组对象的排列组合。在这个例子中，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));
}

这里有一个时间复杂度为O(n!)的算法，使用纯递归和直观的方法。

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);

}

}

我基于Heap算法实现的代码：

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)，空间复杂度为O(n)。

这是一个Java实现：

/* All Permutations of a String */

import java.util.*;
import java.lang.*;
import java.io.*;

/* Complexity O(n*n!) */
class Ideone
{
     public static ArrayList<String> strPerm(String str, ArrayList<String> list)
     {
        int len = str.length();
        if(len==1){
            list.add(str);
            return list;
        }

        list = strPerm(str.substring(0,len-1),list);
        int ls = list.size();
        char ap = str.charAt(len-1);
        for(int i=0;i<ls;i++){
            String temp = list.get(i);
            int tl = temp.length();
            for(int j=0;j<=tl;j++){
                list.add(temp.substring(0,j)+ap+temp.substring(j,tl));  
            }
        }

        while(true){
            String temp = list.get(0);
            if(temp.length()<len)
                list.remove(temp);
            else
                break;
        }

        return list;
    }

    public static void main (String[] args) throws java.lang.Exception
    {
        String str = "abc";
        ArrayList<String> list = new ArrayList<>();

        list = strPerm(str,list);
        System.out.println("Total Permutations : "+list.size());
        for(int i=0;i<list.size();i++)
            System.out.println(list.get(i));

    }
}

http://ideone.com/nWPb3k