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
//循环'整个字符数组,并保持'i'作为你的排列的基础,并像你交换[ab, ba]一样继续寻找组合
public class Permutation {
//Act as a queue
private List<Character> list;
//To remove the duplicates
private Set<String> set = new HashSet<String>();
public Permutation(String s) {
list = new LinkedList<Character>();
int len = s.length();
for(int i = 0; i < len; i++) {
list.add(s.charAt(i));
}
}
public List<String> getStack(Character c, List<Character> list) {
LinkedList<String> stack = new LinkedList<String>();
stack.add(""+c);
for(Character ch: list) {
stack.add(""+ch);
}
return stack;
}
public String printCombination(String s1, String s2) {
//S1 will be a single character
StringBuilder sb = new StringBuilder();
String[] strArr = s2.split(",");
for(String s: strArr) {
sb.append(s).append(s1);
sb.append(",");
}
for(String s: strArr) {
sb.append(s1).append(s);
sb.append(",");
}
return sb.toString();
}
public void printPerumtation() {
int cnt = list.size();
for(int i = 0; i < cnt; i++) {
Character c = list.get(0);
list.remove(0);
List<String> stack = getStack(c, list);
while(stack.size() > 1) {
//Remove the top two elements
String s2 = stack.remove(stack.size() - 1);
String s1 = stack.remove(stack.size() - 1);
String comS = printCombination(s1, s2);
stack.add(comS);
}
String[] perms = (stack.remove(0)).split(",");
for(String perm: perms) {
set.add(perm);
}
list.add(c);
}
for(String s: set) {
System.out.println(s);
}
}
}
其他回答
其中一个简单的解决方案是使用两个指针继续递归地交换字符。
public static void main(String[] args)
{
String str="abcdefgh";
perm(str);
}
public static void perm(String str)
{ char[] char_arr=str.toCharArray();
helper(char_arr,0);
}
public static void helper(char[] char_arr, int i)
{
if(i==char_arr.length-1)
{
// print the shuffled string
String str="";
for(int j=0; j<char_arr.length; j++)
{
str=str+char_arr[j];
}
System.out.println(str);
}
else
{
for(int j=i; j<char_arr.length; j++)
{
char tmp = char_arr[i];
char_arr[i] = char_arr[j];
char_arr[j] = tmp;
helper(char_arr,i+1);
char tmp1 = char_arr[i];
char_arr[i] = char_arr[j];
char_arr[j] = tmp1;
}
}
}
import java.io.IOException;
import java.util.ArrayList;
import java.util.Scanner;
public class hello {
public static void main(String[] args) throws IOException {
hello h = new hello();
h.printcomp();
}
int fact=1;
public void factrec(int a,int k){
if(a>=k)
{fact=fact*k;
k++;
factrec(a,k);
}
else
{System.out.println("The string will have "+fact+" permutations");
}
}
public void printcomp(){
String str;
int k;
Scanner in = new Scanner(System.in);
System.out.println("enter the string whose permutations has to b found");
str=in.next();
k=str.length();
factrec(k,1);
String[] arr =new String[fact];
char[] array = str.toCharArray();
while(p<fact)
printcomprec(k,array,arr);
// if incase u need array containing all the permutation use this
//for(int d=0;d<fact;d++)
//System.out.println(arr[d]);
}
int y=1;
int p = 0;
int g=1;
int z = 0;
public void printcomprec(int k,char array[],String arr[]){
for (int l = 0; l < k; l++) {
for (int b=0;b<k-1;b++){
for (int i=1; i<k-g; i++) {
char temp;
String stri = "";
temp = array[i];
array[i] = array[i + g];
array[i + g] = temp;
for (int j = 0; j < k; j++)
stri += array[j];
arr[z] = stri;
System.out.println(arr[z] + " " + p++);
z++;
}
}
char temp;
temp=array[0];
array[0]=array[y];
array[y]=temp;
if (y >= k-1)
y=y-(k-1);
else
y++;
}
if (g >= k-1)
g=1;
else
g++;
}
}
这里有一个优雅的,非递归的O(n!)解:
public static StringBuilder[] permutations(String s) {
if (s.length() == 0)
return null;
int length = fact(s.length());
StringBuilder[] sb = new StringBuilder[length];
for (int i = 0; i < length; i++) {
sb[i] = new StringBuilder();
}
for (int i = 0; i < s.length(); i++) {
char ch = s.charAt(i);
int times = length / (i + 1);
for (int j = 0; j < times; j++) {
for (int k = 0; k < length / times; k++) {
sb[j * length / times + k].insert(k, ch);
}
}
}
return sb;
}
这个没有递归
public static void permute(String s) {
if(null==s || s.isEmpty()) {
return;
}
// List containing words formed in each iteration
List<String> strings = new LinkedList<String>();
strings.add(String.valueOf(s.charAt(0))); // add the first element to the list
// Temp list that holds the set of strings for
// appending the current character to all position in each word in the original list
List<String> tempList = new LinkedList<String>();
for(int i=1; i< s.length(); i++) {
for(int j=0; j<strings.size(); j++) {
tempList.addAll(merge(s.charAt(i), strings.get(j)));
}
strings.removeAll(strings);
strings.addAll(tempList);
tempList.removeAll(tempList);
}
for(int i=0; i<strings.size(); i++) {
System.out.println(strings.get(i));
}
}
/**
* helper method that appends the given character at each position in the given string
* and returns a set of such modified strings
* - set removes duplicates if any(in case a character is repeated)
*/
private static Set<String> merge(Character c, String s) {
if(s==null || s.isEmpty()) {
return null;
}
int len = s.length();
StringBuilder sb = new StringBuilder();
Set<String> list = new HashSet<String>();
for(int i=0; i<= len; i++) {
sb = new StringBuilder();
sb.append(s.substring(0, i) + c + s.substring(i, len));
list.add(sb.toString());
}
return list;
}
下面是两个c#版本(仅供参考): 1. 打印所有排列 2. 返回所有排列
算法的基本要点是(可能下面的代码更直观-尽管如此,下面的代码是做什么的一些解释): -从当前索引到集合的其余部分,交换当前索引处的元素 -递归地获得下一个索引中剩余元素的排列 -恢复秩序,通过重新交换
注意:上述递归函数将从起始索引中调用。
private void PrintAllPermutations(int[] a, int index, ref int count)
{
if (index == (a.Length - 1))
{
count++;
var s = string.Format("{0}: {1}", count, string.Join(",", a));
Debug.WriteLine(s);
}
for (int i = index; i < a.Length; i++)
{
Utilities.swap(ref a[i], ref a[index]);
this.PrintAllPermutations(a, index + 1, ref count);
Utilities.swap(ref a[i], ref a[index]);
}
}
private int PrintAllPermutations(int[] a)
{
a.ThrowIfNull("a");
int count = 0;
this.PrintAllPermutations(a, index:0, count: ref count);
return count;
}
版本2(与上面相同-但返回排列而不是打印)
private int[][] GetAllPermutations(int[] a, int index)
{
List<int[]> permutations = new List<int[]>();
if (index == (a.Length - 1))
{
permutations.Add(a.ToArray());
}
for (int i = index; i < a.Length; i++)
{
Utilities.swap(ref a[i], ref a[index]);
var r = this.GetAllPermutations(a, index + 1);
permutations.AddRange(r);
Utilities.swap(ref a[i], ref a[index]);
}
return permutations.ToArray();
}
private int[][] GetAllPermutations(int[] p)
{
p.ThrowIfNull("p");
return this.GetAllPermutations(p, 0);
}
单元测试
[TestMethod]
public void PermutationsTests()
{
List<int> input = new List<int>();
int[] output = { 0, 1, 2, 6, 24, 120 };
for (int i = 0; i <= 5; i++)
{
if (i != 0)
{
input.Add(i);
}
Debug.WriteLine("================PrintAllPermutations===================");
int count = this.PrintAllPermutations(input.ToArray());
Assert.IsTrue(count == output[i]);
Debug.WriteLine("=====================GetAllPermutations=================");
var r = this.GetAllPermutations(input.ToArray());
Assert.IsTrue(count == r.Length);
for (int j = 1; j <= r.Length;j++ )
{
string s = string.Format("{0}: {1}", j,
string.Join(",", r[j - 1]));
Debug.WriteLine(s);
}
Debug.WriteLine("No.OfElements: {0}, TotalPerms: {1}", i, count);
}
}
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