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

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;
    }
}

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;
}

这是另一个Java实现，可以开箱即用，并通过测试完成。 这个解决方案是O(n)个空间和时间，使用老式的动态规划。

如果你想用蛮力，有两种蛮力:

排列所有的东西，然后选择最小值更高的:O(n!) 与此实现类似，但不是DP，而是强制填充的步骤 indexToIndexOfNextSmallerLeft映射将在O(n²)中运行。

import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

import org.junit.Test;

import static org.junit.Assert.assertEquals;

public class NextHigherSameDigits {

    public long next(final long num) {
        final char[] chars = String.valueOf(num).toCharArray();
        final int[] digits = new int[chars.length];
        for (int i = 0; i < chars.length; i++) {
            digits[i] = Character.getNumericValue(chars[i]);
        }

        final Map<Integer, Integer> indexToIndexOfNextSmallerLeft = new HashMap<>();
        indexToIndexOfNextSmallerLeft.put(1, digits[1] > digits[0] ? 0 : null);
        for (int i = 2; i < digits.length; i++) {
            final int left = digits[i - 1];
            final int current = digits[i];
            Integer indexOfNextSmallerLeft = null;
            if (current > left) {
                indexOfNextSmallerLeft = i - 1;
            } else {
                final Integer indexOfnextSmallerLeftOfLeft = indexToIndexOfNextSmallerLeft.get(i - 1);
                final Integer nextSmallerLeftOfLeft = indexOfnextSmallerLeftOfLeft == null ? null : 
                    digits[indexOfnextSmallerLeftOfLeft];

                if (nextSmallerLeftOfLeft != null && current > nextSmallerLeftOfLeft) {
                    indexOfNextSmallerLeft = indexOfnextSmallerLeftOfLeft;
                } else {
                    indexOfNextSmallerLeft = null;
                }
            }

            indexToIndexOfNextSmallerLeft.put(i, indexOfNextSmallerLeft);
        }

        Integer maxOfindexOfNextSmallerLeft = null;
        Integer indexOfMinToSwapWithNextSmallerLeft = null;
        for (int i = digits.length - 1; i >= 1; i--) {
            final Integer indexOfNextSmallerLeft = indexToIndexOfNextSmallerLeft.get(i);
            if (maxOfindexOfNextSmallerLeft == null ||
                    (indexOfNextSmallerLeft != null && indexOfNextSmallerLeft > maxOfindexOfNextSmallerLeft)) {

                maxOfindexOfNextSmallerLeft = indexOfNextSmallerLeft;
                if (maxOfindexOfNextSmallerLeft != null && (indexOfMinToSwapWithNextSmallerLeft == null || 
                        digits[i] < digits[indexOfMinToSwapWithNextSmallerLeft])) {

                    indexOfMinToSwapWithNextSmallerLeft = i;
                }
            }
        }

        if (maxOfindexOfNextSmallerLeft == null) {
            return -1;
        } else {
            swap(digits, indexOfMinToSwapWithNextSmallerLeft, maxOfindexOfNextSmallerLeft);
            reverseRemainingOfArray(digits, maxOfindexOfNextSmallerLeft + 1);
            return backToLong(digits);
        }
    }

    private void reverseRemainingOfArray(final int[] digits, final int startIndex) {
        final int[] tail = Arrays.copyOfRange(digits, startIndex, digits.length);
        for (int i = tail.length - 1; i >= 0; i--) {
            digits[(digits.length - 1)  - i] = tail[i];                 
        }
    }

    private void swap(final int[] digits, final int currentIndex, final int indexOfNextSmallerLeft) {
        int temp = digits[currentIndex];
        digits[currentIndex] = digits[indexOfNextSmallerLeft];
        digits[indexOfNextSmallerLeft] = temp;
    }

    private long backToLong(int[] digits) {     
        StringBuilder sb = new StringBuilder();
        for (long i : digits) {
            sb.append(String.valueOf(i));
        }

        return Long.parseLong(sb.toString());
    }

    @Test
    public void test() {
        final long input1 =    34722641;
        final long expected1 = 34724126;
        final long output1 = new NextHigherSameDigits().next(input1);
        assertEquals(expected1, output1);

        final long input2 =    38276;
        final long expected2 = 38627;
        final long output2 = new NextHigherSameDigits().next(input2);
        assertEquals(expected2, output2);

        final long input3 =    54321;
        final long expected3 = -1;
        final long output3 = new NextHigherSameDigits().next(input3);
        assertEquals(expected3, output3);

        final long input4 =    123456784987654321L;
        final long expected4 = 123456785123446789L;
        final long output4 = new NextHigherSameDigits().next(input4);
        assertEquals(expected4, output4);

        final long input5 =    9999;
        final long expected5 = -1;
        final long output5 = new NextHigherSameDigits().next(input5);
        assertEquals(expected5, output5);
    }

}

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

你可以用O(n)(其中n是位数)这样做:

从右边开始，找到左位数小于右位数的第一对数字。让我们用“digit-x”来表示左边的数字。在数字-x的右边找到比数字-x大的最小的数，并把它放在数字-x的左边。最后，按升序对剩余的数字进行排序——因为它们已经是降序的，所以你所需要做的就是将它们颠倒(除了digit-x，它可以放在O(n)中正确的位置)。

举个例子可以更清楚地说明这一点:

123456784987654321
start with a number

123456784 987654321
         ^the first place from the right where the left-digit is less than the right  
         Digit "x" is 4

123456784 987654321
              ^find the smallest digit larger than 4 to the right

123456785 4 98764321
        ^place it to the left of 4

123456785 4 12346789
123456785123446789
         ^sort the digits to the right of 5.  Since all of them except 
         the '4' were already in descending order, all we need to do is 
         reverse their order, and find the correct place for the '4'

正确性证明:

让我们用大写字母来定义数字字符串，用小写字母来定义数字。语法AB表示“字符串A和B的连接”。<是字典排序，当数字字符串长度相等时，它与整数排序相同。

原始数N是AxB的形式，其中x是个位数，B是降序的。 我们的算法找到的数字是AyC，其中y∈B是最小的数字> x(由于x的选择方式，它必须存在，见上文)，C是升序排序的。

假设有一些数字(使用相同的数字)N'使得AxB < N' < AyC。N'必须以A开头，否则它不可能在它们之间，所以我们可以把它写成AzD的形式。现在我们的不等式是AxB < AzD < AyC，它等价于xB < zD < yC，其中所有三个数字字符串都包含相同的数字。

为了使它成立，我们必须有x <= z <= y，因为y是最小的数字> x, z不能在它们之间，所以z = x或z = y，假设z = x，那么我们的不等式是xB < xD < yC，这意味着B和D都有相同的数字。但是，B是降序的，所以没有比它大的数字的字符串。因此，我们不能让B < D，按照同样的步骤，我们可以看到，如果z = y，我们不能让D < C。

因此N'不存在，这意味着我们的算法正确地找到了下一个最大的数字。