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

我们需要找到最右边的0位，后面是1，然后将最右边的0位翻转为1。

例如，我们的输入是487，也就是二进制的111100111。

我们把后面有1的0往右翻转最多

所以我们得到 111101111

但是现在我们多了一个1，少了一个0，所以我们减少了右边1的个数 位增加1，并将0位的no增加1，得到

111101011 -二进制491

int getNextNumber(int input)
{
    int flipPosition=0;
    int trailingZeros=0;
    int trailingOnes=0;
    int copy = input;

    //count trailing zeros
    while(copy != 0 && (copy&1) == 0 )
    {
        ++trailingZeros;

        //test next bit
        copy = copy >> 1;
    }

    //count trailing ones
    while(copy != 0 && (copy&1) == 1 )
    {
        ++trailingOnes;

        //test next bit
        copy = copy >> 1;
    }

    //if we have no 1's (i.e input is 0) we cannot form another pattern with 
    //the same number of 1's which will increment the input, or if we have leading consecutive
    //ones followed by consecutive 0's up to the maximum bit size of a int
    //we cannot increase the input whilst preserving the original no of 0's and
    //1's in the bit pattern
    if(trailingZeros + trailingOnes  == 0 || trailingZeros + trailingOnes == 31)
        return -1;

    //flip first 0 followed by a 1 found from the right of the bit pattern
    flipPosition = trailingZeros + trailingOnes+1;
    input |= 1<<(trailingZeros+trailingOnes);

    //clear fields to the right of the flip position
    int mask = ~0 << (trailingZeros+trailingOnes);
    input &= mask;

    //insert a bit pattern to the right of the flip position that will contain
    //one less 1 to compensate for the bit we switched from 0 to 1
    int insert = flipPosition-1;
    input |= insert;

    return input;
}

PHP实现

时间复杂度O(n)

$n = "9875";
$n_size = strlen($n);
for($i = $n_size-1; $i > 0; $i-- ) {
     if($n[$i] > $n[$i-1]){
     $temp = $n[$i];
     $n[$i] = $n[$i-1];
     $n[$i-1] = $temp;
     break;
     }
    
}

if($i == 0){
    echo "Next Greater value no possible";
}else{
    echo $n;
}

@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;
};

我知道这是一个非常老的问题，但我仍然没有在c#中找到简单的代码。这可能会对参加面试的男士有所帮助。

class Program
{
    static void Main(string[] args)
    {

        int inputNumber = 629;
        int i, currentIndexOfNewArray = 0;

        int[] arrayOfInput = GetIntArray(inputNumber);
        var numList = arrayOfInput.ToList();

        int[] newArray = new int[arrayOfInput.Length];

        do
        {
            int temp = 0;
            int digitFoundAt = 0;
            for (i = numList.Count; i > 0; i--)
            {
                if (numList[i - 1] > temp)
                {
                    temp = numList[i - 1];
                    digitFoundAt = i - 1;
                }
            }

            newArray[currentIndexOfNewArray] = temp;
            currentIndexOfNewArray++;
            numList.RemoveAt(digitFoundAt);
        } while (arrayOfInput.Length > currentIndexOfNewArray);



        Console.WriteLine(GetWholeNumber(newArray));

        Console.ReadKey();


    }

    public static int[] GetIntArray(int num)
    {
        IList<int> listOfInts = new List<int>();
        while (num > 0)
        {
            listOfInts.Add(num % 10);
            num = num / 10;
        }
        listOfInts.Reverse();
        return listOfInts.ToArray();
    }

    public static double GetWholeNumber(int[] arrayNumber)
    {
        double result = 0;
        double multiplier = 0;
        var length = arrayNumber.Count() - 1;
        for(int i = 0; i < arrayNumber.Count(); i++)
        {
            multiplier = Math.Pow(10.0, Convert.ToDouble(length));
            result += (arrayNumber[i] * multiplier);
            length = length - 1;
        }

        return result;
    }
}

非常简单的实现使用Javascript，下一个最高的数字与相同的数字

/*
Algorithm applied
I) Traverse the given number from rightmost digit, keep traversing till you find a digit which is smaller than the previously traversed digit. For example, if the input number is “534976”, we stop at 4 because 4 is smaller than next digit 9. If we do not find such a digit, then output is “Not Possible”.

II) Now search the right side of above found digit ‘d’ for the smallest digit greater than ‘d’. For “534976″, the right side of 4 contains “976”. The smallest digit greater than 4 is 6.

III) Swap the above found two digits, we get 536974 in above example.

IV) Now sort all digits from position next to ‘d’ to the end of number. The number that we get after sorting is the output. For above example, we sort digits in bold 536974. We get “536479” which is the next greater number for input 534976.

*/

function findNext(arr)
{
  let i;
  //breaking down a digit into arrays of string and then converting back that array to number array
  let arr1=arr.toString().split('').map(Number) ;
  //started to loop from the end of array 
  for(i=arr1.length;i>0;i--)
  {
    //looking for if the current number is greater than the number next to it
    if(arr1[i]>arr1[i-1])
    {// if yes then we break the loop it so that we can swap and sort
      break;}
  }

  if(i==0)
  {console.log("Not possible");}

   else
  {
   //saving that big number and smaller number to the left of it
   let smlNum =arr1[i-1];
    let bigNum =i;
   /*now looping again and checking if we have any other greater number, if we have one AFTER big number and smaller number to the right. 
     A greater number that is of course greater than that smaller number but smaller than the first number we found.
     Why are doing this? Because that is an algorithm to find next higher number with same digits. 
   */
    for(let j=i+1;j<arr1.length;j++)
      {//What if there are no digits afters those found numbers then of course loop will not be initiated otherwise...
        if(arr1[j]> smlNum && arr1[j]<arr1[i])
        {// we assign that other found number here and replace it with the one we found before
          bigNum=j;

        }
      } //now we are doing swapping of places the small num and big number , 3rd part of alogorithm
    arr1[i-1]=arr1[bigNum];
          arr1[bigNum]=smlNum;
    //returning array 
    //too many functions applied sounds complicated right but no, here is the  trick
    //return arr first then apply each function one by one to see output and then further another func to that output to match your needs
    // so here after swapping , 4th part of alogorithm is to sort the array right after the 1st small num we found
    // to do that first we simple take part of array, we splice it and then we apply sort fucntion, then check output (to check outputs, pls use chrome dev console)
    //and then  simply the rest concat and join to main one digit again.
     return arr1.concat((arr1.splice(i,arr1.length)).sort(function(a, b){return a-b})).join('');



    // Sorry to make it too long but its fun explaining things in much easier ways as much as possible!!
  }

}


findNext(1234);

因为有很多评论，所以你最好把它复制到你的文本编辑器。 谢谢!