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📜  使用数字0到K-1组成的最多N个数字的计数,没有相邻的0

📅  最后修改于: 2021-06-26 20:54:02             🧑  作者: Mango

给定两个整数NK ,任务是对最多N个数字进行计数,以使没有两个零相邻且数字范围从0到K-1。
例子:

方法:想法是使用动态编程来解决此问题。
DP [i] [j]为所需数字的数量,直到该数字的第i位,其最后一位为j
观察结果:

  • 填补一个地方的方法是(K-1)
  • 众所周知,零不能相邻。因此,当我们的最后一个元素为0时,意味着前一个索引将以1的方式填充,即0。因此,当前位置只能由(K-1)个数字填充。
  • 如果最后一位用(K-1)位填充,则当前位可以用0或(K-1)位填充。

基本情况:

  • 如果n == 1并且最后一个== K,那么我们可以用(K-1)个数字填充该位置,然后返回(K-1)
  • 否则,返回1

递归关系:

下面是上述方法的实现:

C++
// C++ implementation to count the
// numbers upto N digits such that
// no two zeros are adjacent
 
#include 
using namespace std;
 
int dp[15][10];
 
// Function to count the
// numbers upto N digits such that
// no two zeros are adjacent
int solve(int n, int last, int k)
{
    // Condition to check if only
    // one element remains
    if (n == 1) {
 
        // If last element is non
        // zero, return K-1
        if (last == k) {
            return (k - 1);
        }
        // If last element is 0
        else {
            return 1;
        }
    }
 
    // Condition to check if value
    // calculated already
    if (dp[n][last])
        return dp[n][last];
 
    // If last element is non zero,
    // then two cases arise,
    // current element can be either
    // zero or non zero
    if (last == k) {
 
        // Memoize this case
        return dp[n][last]
               = (k - 1)
                     * solve(n - 1, k, k)
                 + (k - 1)
                       * solve(n - 1, 1, k);
    }
 
    // If last is 0, then current
    // can only be non zero
    else {
 
        // Memoize and return
        return dp[n][last]
               = solve(n - 1, k, k);
    }
}
 
// Driver Code
int main()
{
    // Given N and K
    int n = 2, k = 3;
 
    // Function Call
    int x = solve(n, k, k)
            + solve(n, 1, k);
    cout << x;
}


Java
// Java implementation to count the
// numbers upto N digits such that
// no two zeros are adjacent
class GFG{
     
static int[][] dp = new int[15][10];
 
// Function to count the numbers
// upto N digits such that
// no two zeros are adjacent
static int solve(int n, int last, int k)
{
     
    // Condition to check if only
    // one element remains
    if (n == 1)
    {
         
        // If last element is non
        // zero, return K-1
        if (last == k)
        {
            return (k - 1);
        }
         
        // If last element is 0
        else
        {
            return 1;
        }
    }
 
    // Condition to check if
    // value calculated already
    if (dp[n][last] == 1)
        return dp[n][last];
 
    // If last element is non zero,
    // then two cases arise, current
    // element can be either zero
    // or non zero
    if (last == k)
    {
         
        // Memoize this case
        return dp[n][last] = (k - 1) *
                        solve(n - 1, k, k) +
                             (k - 1) *
                        solve(n - 1, 1, k);
    }
     
    // If last is 0, then current
    // can only be non zero
    else
    {
 
        // Memoize and return
        return dp[n][last] = solve(n - 1, k, k);
    }
}
 
// Driver Code
public static void main(String[] args)
{
     
    // Given N and K
    int n = 2, k = 3;
 
    // Function Call
    int x = solve(n, k, k) +
            solve(n, 1, k);
     
    System.out.print(x);
}
}
 
// This code is contributed by Ritik Bansal


Python3
# Python3 implementation to count the
# numbers upto N digits such that
# no two zeros are adjacent
dp = [[0] * 10 for j in range(15)]
 
# Function to count the numbers
# upto N digits such that no two
# zeros are adjacent
def solve(n, last, k):
 
    # Condition to check if only
    # one element remains
    if (n == 1):
 
        # If last element is non
        # zero, return K-1
        if (last == k):
            return (k - 1)
         
        # If last element is 0
        else:
            return 1
 
    # Condition to check if value
    # calculated already
    if (dp[n][last]):
        return dp[n][last]
 
    # If last element is non zero,
    # then two cases arise, current
    # element can be either zero or
    # non zero
    if (last == k):
 
        # Memoize this case
        dp[n][last] = ((k - 1) *
                  solve(n - 1, k, k) +
                       (k - 1) *
                  solve(n - 1, 1, k))
                        
        return dp[n][last]
 
    # If last is 0, then current
    # can only be non zero
    else:
 
        # Memoize and return
        dp[n][last] = solve(n - 1, k, k)
        return dp[n][last]
 
# Driver code
 
# Given N and K
n = 2
k = 3
 
# Function call
x = solve(n, k, k) + solve(n, 1, k)
 
print(x)
 
# This code is contributed by himanshu77


C#
// C# implementation to count the
// numbers upto N digits such that
// no two zeros are adjacent
using System;
 
class GFG{
     
public static int [,]dp = new int[15, 10];
 
// Function to count the numbers
// upto N digits such that
// no two zeros are adjacent
public static int solve(int n, int last, int k)
{
     
    // Condition to check if only
    // one element remains
    if (n == 1)
    {
         
        // If last element is non
        // zero, return K-1
        if (last == k)
        {
            return (k - 1);
        }
         
        // If last element is 0
        else
        {
            return 1;
        }
    }
 
    // Condition to check if
    // value calculated already
    if (dp[n, last] == 1)
        return dp[n, last];
 
    // If last element is non zero,
    // then two cases arise, current
    // element can be either zero
    // or non zero
    if (last == k)
    {
         
        // Memoize this case
        return dp[n, last] = (k - 1) *
                        solve(n - 1, k, k) +
                             (k - 1) *
                        solve(n - 1, 1, k);
    }
     
    // If last is 0, then current
    // can only be non zero
    else
    {
 
        // Memoize and return
        return dp[n, last] = solve(n - 1, k, k);
    }
}
 
// Driver Code
public static void Main(string[] args)
{
     
    // Given N and K
    int n = 2, k = 3;
 
    // Function Call
    int x = solve(n, k, k) +
            solve(n, 1, k);
     
    Console.WriteLine(x);
}
}
 
// This code is contributed by SoumikMondal


Javascript


输出:
8

时间复杂度: O(N)
辅助空间: O(N * 10)

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