给定n位数字加9。然后检查它是否在限制范围内(第一个(n+1)位数)。如果是，则检查新号码中的数字是否与原号码中的数字相同。 重复加9，直到两个条件都为真。 当数字超过限制时停止算法。

对于这种方法，我想不出一个与之相矛盾的测试用例。

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

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();
    }


}

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。

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;
   }

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