找出弦的所有排列的优雅方法是什么。例如,ba的排列,将是ba和ab,但更长的字符串,如abcdefgh?是否有Java实现示例?


当前回答

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!)

其他回答

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。

为排列和组合添加更详细的NcK/NcR

public static void combinationNcK(List<String> inputList, String prefix, int chooseCount, List<String> resultList) {
    if (chooseCount == 0)
        resultList.add(prefix);
    else {
        for (int i = 0; i < inputList.size(); i++)
            combinationNcK(inputList.subList(i + 1, inputList.size()), prefix + "," + inputList.get(i), chooseCount - 1, resultList);

        // Finally print once all combinations are done
        if (prefix.equalsIgnoreCase("")) {
            resultList.stream().map(str -> str.substring(1)).forEach(System.out::println);
        }
    }
}

public static void permNcK(List<String> inputList, int chooseCount, List<String> resultList) {
    for (int count = 0; count < inputList.size(); count++) {
        permNcK(inputList, "", chooseCount, resultList);
        resultList = new ArrayList<String>();
        Collections.rotate(inputList, 1);
        System.out.println("-------------------------");
    }

}

public static void permNcK(List<String> inputList, String prefix, int chooseCount, List<String> resultList) {
    if (chooseCount == 0)
        resultList.add(prefix);
    else {
        for (int i = 0; i < inputList.size(); i++)
            combinationNcK(inputList.subList(i + 1, inputList.size()), prefix + "," + inputList.get(i), chooseCount - 1, resultList);

        // Finally print once all combinations are done
        if (prefix.equalsIgnoreCase("")) {
            resultList.stream().map(str -> str.substring(1)).forEach(System.out::println);
        }
    }
}

public static void main(String[] args) {
    List<String> positions = Arrays.asList(new String[] { "1", "2", "3", "4", "5", "6", "7", "8" });
    List<String> resultList = new ArrayList<String>();
    //combinationNcK(positions, "", 3, resultList);

    permNcK(positions, 3, resultList);

}

使用递归。

当输入是空字符串时,唯一的排列就是空字符串。尝试将字符串中的每个字母作为第一个字母,然后使用递归调用找到其余字母的所有排列。

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

class Permutation {
    private static List<String> permutation(String prefix, String str) {
        List<String> permutations = new ArrayList<>();
        int n = str.length();
        if (n == 0) {
            permutations.add(prefix);
        } else {
            for (int i = 0; i < n; i++) {
                permutations.addAll(permutation(prefix + str.charAt(i), str.substring(i + 1, n) + str.substring(0, i)));
            }
        }
        return permutations;
    }

    public static void main(String[] args) {
        List<String> perms = permutation("", "abcd");

        String[] array = new String[perms.size()];
        for (int i = 0; i < perms.size(); i++) {
            array[i] = perms.get(i);
        }

        int x = array.length;

        for (final String anArray : array) {
            System.out.println(anArray);
        }
    }
}

下面是一个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

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;
}