这是我在Ruby中的实现:

def foo num  
  num = num.to_s.chars.map(&:to_i)
  return num.join.to_i if num.size < 2
  for left in (num.size-2).downto(0) do
    for right in (num.size-1).downto(left+1) do
      if num[right]>num[left]
        num[left],num[right] = num[right],num[left]        
        return (num[0..left] + num[left+1..num.size-1].sort).join.to_i
      end
    end
  end
  return num.join.to_i
end

p foo 38276 
#will print: 38627

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。

只是使用python的另一个解决方案:

def PermutationStep(num):
    if sorted(list(str(num)), reverse=True) == list(str(num)):
        return -1
    ls = list(str(num))
    n = 0
    inx = 0
    for ind, i in enumerate(ls[::-1]):
        if i < n:
            n = i
            inx = -(ind + 1)
            break
        n = i
    ls[inx], ls[inx + 1] = ls[inx + 1], ls[inx]

    nl = ls[inx::-1][::-1]
    ln = sorted(ls[inx+1:])
    return ''.join(nl) + ''.join(ln)

print PermutationStep(23514)

输出:

23541

import java.util.Scanner;
public class Big {

    public static void main(String[] args) {


        Scanner sc = new Scanner(System.in);
        System.out.print("Enter the number ");
        String str = sc.next();
        int t=0;

        char[] chars  = str.toCharArray();



        for(int i=str.length()-1,j=str.length()-2;j>=0;j--)
        {


                if((int)chars[i]>(int)chars[j])
                {
                    t = (int)chars[i];
                    chars[i] = chars[j];
                    chars[j]=(char)t;

                    for(int k=j+1;k<str.length()-1;k++)
                    {
                        for(int l=k+1;l<str.length();l++)
                        {
                            if(chars[k]>chars[l])
                            {
                                int m = (int)chars[k];
                                chars[k] = chars[l];
                                chars[l]=(char)m;
                            }
                        }
                    }

                    break;
                }






        }
        System.out.print("The next Big number is: ");

        for(int i=0;i<str.length();i++){
            System.out.print(chars[i]);
        }
        sc.close();
    }


}

这是个很有趣的问题。

这是我的java版本。在我检查其他贡献者的评论之前，从弄清楚模式到完全完成代码，我花了大约3个小时。很高兴看到我的想法和别人一样。

O (n)的解决方案。老实说，如果时间只有15分钟，并且要求在白板上完成完整的代码，我将会失败。

以下是我的解决方案的一些有趣点:

避免任何排序。 完全避免字符串操作 实现O(logN)空间复杂度

我在代码中添加了详细注释，并在每个步骤中添加了大O。

  public int findNextBiggestNumber(int input  )   {
    //take 1358642 as input for example.
    //Step 1: split the whole number to a list for individual digital   1358642->[2,4,6,8,5,3,1]
    // this step is O(n)
    int digitalLevel=input;

    List<Integer> orgNumbersList=new ArrayList<Integer>()   ;

    do {
        Integer nInt = new Integer(digitalLevel % 10);
        orgNumbersList.add(nInt);

        digitalLevel=(int) (digitalLevel/10  )  ;


    } while( digitalLevel >0)    ;
    int len= orgNumbersList.size();
    int [] orgNumbers=new int[len]  ;
    for(int i=0;i<len;i++){
        orgNumbers[i ]  =  orgNumbersList.get(i).intValue();
    }
    //step 2 find the first digital less than the digital right to it
    // this step is O(n)


    int firstLessPointer=1;
    while(firstLessPointer<len&&(orgNumbers[firstLessPointer]>orgNumbers[ firstLessPointer-1 ])){
        firstLessPointer++;
    }
     if(firstLessPointer==len-1&&orgNumbers[len-1]>=orgNumbers[len-2]){
         //all number is in sorted order like 4321, no answer for it, return original
         return input;
     }

    //when step 2 step finished, firstLessPointer  pointing to number 5

     //step 3 fristLessPointer found, need to find  to  first number less than it  from low digital in the number
    //This step is O(n)
    int justBiggerPointer=  0 ;

    while(justBiggerPointer<firstLessPointer&& orgNumbers[justBiggerPointer]<orgNumbers[firstLessPointer]){
        justBiggerPointer++;
    }
    //when step 3 finished, justBiggerPointer  pointing to 6

    //step 4 swap the elements  of justBiggerPointer and firstLessPointer .
    // This  is O(1) operation   for swap

   int tmp=  orgNumbers[firstLessPointer] ;

    orgNumbers[firstLessPointer]=  orgNumbers[justBiggerPointer]  ;
     orgNumbers[justBiggerPointer]=tmp ;


     // when step 4 finished, the list looks like        [2,4,5,8,6,3,1]    the digital in the list before
     // firstLessPointer is already sorted in our previous operation
     // we can return result from this list  but  in a differrent way
    int result=0;
    int i=0;
    int lowPointer=firstLessPointer;
    //the following pick number from list from  the position just before firstLessPointer, here is 8 -> 5 -> 4 -> 2
    //This Operation is O(n)
    while(lowPointer>0)        {
        result+= orgNumbers[--lowPointer]* Math.pow(10,i);
        i++;
    }
    //the following pick number from list   from position firstLessPointer
    //This Operation is O(n)
    while(firstLessPointer<len)        {
        result+= orgNumbers[firstLessPointer++ ]* Math.pow(10,i);
        i++;
    }
     return  result;

}

下面是在Intellj中运行的结果:

959879532-->959892357
1358642-->1362458
1234567-->1234576
77654321-->77654321
38276-->38627
47-->74

这里是Java实现

public static int nextHigherNumber(int number) {
    Integer[] array = convertToArray(number);
    int pivotIndex = pivotMaxIndex(array);
    int digitInFirstSequence = pivotIndex -1;
    int lowerDigitIndexInSecondSequence = lowerDigitIndex(array[digitInFirstSequence], array, pivotIndex);
    swap(array, digitInFirstSequence, lowerDigitIndexInSecondSequence);
    doRercursiveQuickSort(array, pivotIndex, array.length - 1);
    return arrayToInteger(array);
}

public static Integer[] convertToArray(int number) {
    int i = 0;
    int length = (int) Math.log10(number);
    int divisor = (int) Math.pow(10, length);
    Integer temp[] = new Integer[length + 1];

    while (number != 0) {
        temp[i] = number / divisor;
        if (i < length) {
            ++i;
        }
        number = number % divisor;
        if (i != 0) {
            divisor = divisor / 10;
        }
    }
    return temp;
}

private static int pivotMaxIndex(Integer[] array) {
    int index = array.length - 1;
    while(index > 0) {
        if (array[index-1] < array[index]) {
            break;
        }
        index--;
    }       
    return index;
}

private static int lowerDigitIndex(int number, Integer[] array, int fromIndex) {
    int lowerMaxIndex = fromIndex;
    int lowerMax = array[lowerMaxIndex];
    while (fromIndex < array.length - 1) {
        if (array[fromIndex]> number && lowerMax > array[fromIndex]) {
            lowerMaxIndex = fromIndex; 
        }
        fromIndex ++;
    }
    return lowerMaxIndex;
}

public static int arrayToInteger(Integer[] array) {
    int number = 0;
    for (int i = 0; i < array.length; i++) {
        number+=array[i] * Math.pow(10, array.length-1-i);
    }
    return number;
}

这里是单元测试

@Test
public void nextHigherNumberTest() {
    assertThat(ArrayUtils.nextHigherNumber(34722641), is(34724126));
    assertThat(ArrayUtils.nextHigherNumber(123), is(132));
}