Ruby的解决方案

def next_bigger(num)
  char_array = num.to_s.split('')
  return -1 if char_array.uniq.size == 1

  arr, target_idx, target_char = [], nil, nil
  # get first left-digit less than the right from right side
  (char_array.count - 1).times do |i|
    arr.unshift(char_array[-(i+1)])

    if char_array[-(i+2)] < char_array[-(i+1)]
      target_idx = char_array.count - (i + 2)
      target_char = char_array[-(i+2)]
      arr.unshift(char_array[-(i+2)])
      break
    end
  end
  return -1 unless target_idx

  # first smallest digit larger than target_char to the right
  ((target_char.to_i + 1)..9).to_a.each do |ch|
    if arr.index(ch.to_s)
      flip_char = arr.delete_at(arr.index(ch.to_s))
      # sort the digits to the right of flip_char
      arr.sort!
      # place flip_char to the left of target_char
      arr.unshift(flip_char)
      break
    end
  end

  (char_array[0...target_idx] + arr).join().to_i
end

public static void findNext(long number){

        /* convert long to string builder */    

        StringBuilder s = new StringBuilder();
        s.append(number);
        int N = s.length();
        int index=-1,pivot=-1;

/* from tens position find the number (called pivot) less than the number in right */ 

        for(int i=N-2;i>=0;i--){

             int a = s.charAt(i)-'0';
             int b = s.charAt(i+1)-'0';

             if(a<b){
                pivot = a;
                index =i;
                break;
            }
        }

      /* if no such pivot then no solution */   

        if(pivot==-1) System.out.println(" No such number ")

        else{   

     /* find the minimum highest number to the right higher than the pivot */

            int nextHighest=Integer.MAX_VALUE, swapIndex=-1;

            for(int i=index+1;i<N;i++){

            int a = s.charAt(i)-'0';

            if(a>pivot && a<nextHighest){
                    nextHighest = a;
                    swapIndex=i;
                }
            }


     /* swap the pivot and next highest number */

            s.replace(index,index+1,""+nextHighest);
            s.replace(swapIndex,swapIndex+1,""+pivot);

/* sort everything to right of pivot and replace the sorted answer to right of pivot */

            char [] sort = s.substring(index+1).toCharArray();
            Arrays.sort(sort);

            s.replace(index+1,N,String.copyValueOf(sort));

            System.out.println("next highest number is "+s);
        }

    }

I didn't know anything about the brute force algorithm when answering this question, so I approached it from another angle. I decided to search the entire range of possible solutions that this number could possibly be rearranged into, starting from the number_given+1 up to the max number available (999 for a 3 digit number, 9999 for 4 digits, etc.). I did this kind of like finding a palindrome with words, by sorting the numbers of each solution and comparing it to the sorted number given as the parameter. I then simply returned the first solution in the array of solutions, as this would be the next possible value.

下面是我的Ruby代码:

def PermutationStep(num)

    a = []
    (num.to_s.length).times { a.push("9") }
    max_num = a.join('').to_i
    verify = num.to_s.split('').sort
    matches = ((num+1)..max_num).select {|n| n.to_s.split('').sort == verify }

    if matches.length < 1
      return -1
    else
      matches[0]
    end
end

这是另一个Java实现，可以开箱即用，并通过测试完成。 这个解决方案是O(n)个空间和时间，使用老式的动态规划。

如果你想用蛮力，有两种蛮力:

排列所有的东西，然后选择最小值更高的:O(n!) 与此实现类似，但不是DP，而是强制填充的步骤 indexToIndexOfNextSmallerLeft映射将在O(n²)中运行。

import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

import org.junit.Test;

import static org.junit.Assert.assertEquals;

public class NextHigherSameDigits {

    public long next(final long num) {
        final char[] chars = String.valueOf(num).toCharArray();
        final int[] digits = new int[chars.length];
        for (int i = 0; i < chars.length; i++) {
            digits[i] = Character.getNumericValue(chars[i]);
        }

        final Map<Integer, Integer> indexToIndexOfNextSmallerLeft = new HashMap<>();
        indexToIndexOfNextSmallerLeft.put(1, digits[1] > digits[0] ? 0 : null);
        for (int i = 2; i < digits.length; i++) {
            final int left = digits[i - 1];
            final int current = digits[i];
            Integer indexOfNextSmallerLeft = null;
            if (current > left) {
                indexOfNextSmallerLeft = i - 1;
            } else {
                final Integer indexOfnextSmallerLeftOfLeft = indexToIndexOfNextSmallerLeft.get(i - 1);
                final Integer nextSmallerLeftOfLeft = indexOfnextSmallerLeftOfLeft == null ? null : 
                    digits[indexOfnextSmallerLeftOfLeft];

                if (nextSmallerLeftOfLeft != null && current > nextSmallerLeftOfLeft) {
                    indexOfNextSmallerLeft = indexOfnextSmallerLeftOfLeft;
                } else {
                    indexOfNextSmallerLeft = null;
                }
            }

            indexToIndexOfNextSmallerLeft.put(i, indexOfNextSmallerLeft);
        }

        Integer maxOfindexOfNextSmallerLeft = null;
        Integer indexOfMinToSwapWithNextSmallerLeft = null;
        for (int i = digits.length - 1; i >= 1; i--) {
            final Integer indexOfNextSmallerLeft = indexToIndexOfNextSmallerLeft.get(i);
            if (maxOfindexOfNextSmallerLeft == null ||
                    (indexOfNextSmallerLeft != null && indexOfNextSmallerLeft > maxOfindexOfNextSmallerLeft)) {

                maxOfindexOfNextSmallerLeft = indexOfNextSmallerLeft;
                if (maxOfindexOfNextSmallerLeft != null && (indexOfMinToSwapWithNextSmallerLeft == null || 
                        digits[i] < digits[indexOfMinToSwapWithNextSmallerLeft])) {

                    indexOfMinToSwapWithNextSmallerLeft = i;
                }
            }
        }

        if (maxOfindexOfNextSmallerLeft == null) {
            return -1;
        } else {
            swap(digits, indexOfMinToSwapWithNextSmallerLeft, maxOfindexOfNextSmallerLeft);
            reverseRemainingOfArray(digits, maxOfindexOfNextSmallerLeft + 1);
            return backToLong(digits);
        }
    }

    private void reverseRemainingOfArray(final int[] digits, final int startIndex) {
        final int[] tail = Arrays.copyOfRange(digits, startIndex, digits.length);
        for (int i = tail.length - 1; i >= 0; i--) {
            digits[(digits.length - 1)  - i] = tail[i];                 
        }
    }

    private void swap(final int[] digits, final int currentIndex, final int indexOfNextSmallerLeft) {
        int temp = digits[currentIndex];
        digits[currentIndex] = digits[indexOfNextSmallerLeft];
        digits[indexOfNextSmallerLeft] = temp;
    }

    private long backToLong(int[] digits) {     
        StringBuilder sb = new StringBuilder();
        for (long i : digits) {
            sb.append(String.valueOf(i));
        }

        return Long.parseLong(sb.toString());
    }

    @Test
    public void test() {
        final long input1 =    34722641;
        final long expected1 = 34724126;
        final long output1 = new NextHigherSameDigits().next(input1);
        assertEquals(expected1, output1);

        final long input2 =    38276;
        final long expected2 = 38627;
        final long output2 = new NextHigherSameDigits().next(input2);
        assertEquals(expected2, output2);

        final long input3 =    54321;
        final long expected3 = -1;
        final long output3 = new NextHigherSameDigits().next(input3);
        assertEquals(expected3, output3);

        final long input4 =    123456784987654321L;
        final long expected4 = 123456785123446789L;
        final long output4 = new NextHigherSameDigits().next(input4);
        assertEquals(expected4, output4);

        final long input5 =    9999;
        final long expected5 = -1;
        final long output5 = new NextHigherSameDigits().next(input5);
        assertEquals(expected5, output5);
    }

}

至少，这里有几个基于字符串的暴力解决方案的例子，你应该能够马上想到:

38276中的数字排序为23678

38627排序的数字列表是23678

蛮力增量，排序和比较

沿着蛮力解决方案将转换为字符串 然后用这些数字强行找出所有可能的数字。

从它们中创建int，把它们放在一个列表中并排序， 获取目标条目之后的下一个条目。

如果你花了30分钟在这个问题上，却没有想出一个蛮力的方法，我也不会雇用你。

在商业世界中，一个不优雅、缓慢和笨拙但能完成工作的解决方案总是比没有解决方案更有价值，事实上，这几乎描述了所有不优雅、缓慢和笨拙的商业软件。

#include<bits/stdc++.h>
using namespace std;
int main() 
{
    int i,j,k,min,len,diff,z,u=0,f=0,flag=0;
    char temp[100],a[100]`enter code here`,n;
    min=9999;
    //cout<<"Enter the number\n";
    cin>>a;
    len=strlen(a);
    for(i=0;i<len;i++)
    {
        if(a[i]<a[i+1]){flag=1;break;}
    }
    if(flag==0){cout<<a<<endl;}
    else
    {
        for(i=len-1;i>=0;i--)if(((int)a[i-1])<((int)a[i]))break;
        for(k=0;k<i-1;k++)cout<<a[k];
        for(j=i;j<len;j++)
        {
            if(((int)a[j]-48)-((int)a[i-1]-48)>0)
            {
                diff=((int)a[j]-48)-((int)a[i-1]-48);
                if(diff<min){n=a[j];min=diff;}
            }
        }
        cout<<n;
        for(z=i-1;z<len;z++)
        {
            temp[u]=a[z];
            u++;
        }
        temp[u]='\0';
        sort(temp,temp+strlen(temp));
        for(z=0;z<strlen(temp);z++){if(temp[z]==n&&f==0){f=1;continue;}cout<<temp[z];}
    }
    return 0;
}