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);
        }

    }

你的想法

我想从找到第一个比个位小的数字的下标开始。然后我将旋转子集中的最后一个数字，这样它是由相同的数字组成的下一个最大的数字，但卡住了。

其实还不错。您不仅要考虑最后一位数字，还要考虑所有比当前考虑的不那么重要的数字。在此之前，我们有一个单调的数字序列，即最右边的数字比它右边的邻居小。把

1234675
    ^

下一个有相同数字的大数是

1234756

将找到的数字交换为最后一位数字(考虑的数字中最小的数字)，其余数字按递增顺序排列。

@BlueRaja算法的javascript实现。

var Bar = function(num){ 
  num = num.toString();
  var max = 0;
  for(var i=num.length-2; i>0; i--){
    var numArray = num.substr(i).split("");
    max = Math.max.apply(Math,numArray);
    if(numArray[0]<max){
        numArray.sort(function(a,b){return a-b;});
        numArray.splice(-1);
        numArray = numArray.join("");
        return Number(num.substr(0,i)+max+numArray);
    }
  }
  return -1;
};

在Java中，这个算法比这个算法更简洁

   public static int permutate2(int number){
        String[] numArray = String.valueOf(number).split("");

        for(int i = numArray.length - 1; i > 0; i--){
            int current = Integer.valueOf(numArray[i]);
            int previous = Integer.valueOf(numArray[i - 1]);

            if(previous < current){
                String[] rest = String.valueOf(number).substring(i, numArray.length).split("");
                Arrays.sort(rest);

                String picker = rest[0];
                int pickerIndex = 0;
                for(int n = 0; n < rest.length ; n++){
                    if(Integer.valueOf(rest[n]) > previous){
                        picker = rest[n];
                        pickerIndex = n;
                        break;
                    }
                }
                numArray[i - 1] = picker;
                rest[pickerIndex] = String.valueOf(previous);
                Arrays.sort(rest);

                String newNumber = "";
                for(int z = 0; z <= i - 1; z++){
                    newNumber += numArray[z];
                }
                for(String z : rest){
                    newNumber += z;
                }

                return Integer.valueOf(newNumber);
            }
        }

        return number;
   }

我很确定你的面试官是想委婉地让你说出这样的话:

local number = 564321;

function split(str)
    local t = {};
    for i = 1, string.len(str) do
        table.insert(t, str.sub(str,i,i));
    end
    return t;
end

local res = number;
local i = 1;
while number >= res do
    local t = split(tostring(res));
    if i == 1 then
        i = #t;
    end
    t[i], t[i-1] = t[i-1], t[i];
    i = i - 1;
    res = tonumber(table.concat(t));
end

print(res);

不一定是最有效或最优雅的解决方案，但它在两个循环中解决了所提供的示例，并像他建议的那样一次交换一个数字。

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