我刚刚搞砸了一次面试,而且我的面试问题几乎毫无进展。

给定一个数,找出下一个与之完全相同的更大的数 作为原始数字的数字集。例如:给定38276返回 38627

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。

面试官还建议我试着一次换一个数字,但我搞不懂算法,只能盯着屏幕看20-30分钟。不用说,我想我还得继续找工作。


当前回答

关于如何做到这一点,请参阅Knuth的“计算机编程艺术:生成所有排列”(.ps.gz)中的“算法L”。

其他回答

回答在java与一个更多的条件添加

Next number should also be an Even number public static int nextDigit(int number) { String num = String.valueOf(number); int stop = 0; char[] orig_chars = null; char[] part1 = null; char[] part2 = null; orig_chars = num.toCharArray(); System.out.println("vivek c r"); for (int i = orig_chars.length - 1; i > 0; i--) { String previous = orig_chars[i - 1] + ""; String next = orig_chars[i] + ""; if (Integer.parseInt(previous) < Integer.parseInt(next)) { if (Integer.parseInt(previous) % 2 == 0) { String partString1 = ""; String partString2 = ""; for (int j = 0; j <= i - 1; j++) { partString1 = partString1.concat(orig_chars[j] + ""); } part1 = partString1.toCharArray(); for (int k = i; k < orig_chars.length; k++) { partString2 = partString2.concat(orig_chars[k] + ""); } part2 = partString2.toCharArray(); Arrays.sort(part2); for (int l = 0; l < part2.length; l++) { char temp = '0'; if (part2[l] > part1[i - 1]) { temp = part1[i - 1]; part1[i - 1] = part2[l]; part2[l] = temp; break; } } for (int m = 0; m < part2.length; m++) { char replace = '0'; if (part2[m] % 2 == 0) { replace = part2[m]; for (int n = m; n < part2.length - 1; n++) { part2[n] = part2[n + 1]; } part2[part2.length - 1] = replace; break; } } System.out.print(part1); System.out.println(part2); System.exit(0); } } } System.out.println("NONE"); return 0; }

#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;
}
 private static int GetNextHigherNumber(int num)
        {
            //given 38276 return 38627

            string numberstring = num.ToString();

            char[] sNum = numberstring.ToCharArray();

            for (int i = sNum.Length - 1; i > 0; i--)
            {
                for (int j = i - 1; j > 0; j--)
                {
                    if (sNum[i] > sNum[j])
                    {
                        for (int x = i; x > j; x--)
                        {
                            char chr = sNum[x]; 
                            sNum[x] = sNum[x - 1];
                            sNum[x - 1] = chr;
                        }

                        i = 0;
                        break;
                    }
                }
            }

            numberstring = string.Empty;
            for(int x= 0 ; x<sNum.Length;x++)
            {
                numberstring += sNum[x].ToString();
            }

            return Convert.ToInt32(numberstring);
        }

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

下面是Python中的一个紧凑(但部分是蛮力)解决方案

def findnext(ii): return min(v for v in (int("".join(x)) for x in
    itertools.permutations(str(ii))) if v>ii)

在c++中,你可以这样排列:https://stackoverflow.com/a/9243091/1149664(它与itertools中的算法相同)

以下是Weeble和BlueRaja描述的顶部答案的实现(其他答案)。我怀疑还有什么更好的办法。

def findnext(ii):
    iis=list(map(int,str(ii)))
    for i in reversed(range(len(iis))):
        if i == 0: return ii
        if iis[i] > iis[i-1] :
            break        
    left,right=iis[:i],iis[i:]
    for k in reversed(range(len(right))):
        if right[k]>left[-1]:
           right[k],left[-1]=left[-1],right[k]
           break
    return int("".join(map(str,(left+sorted(right)))))