Given two integers N and K, the task is to find the count of all possible N-digit numbers having sum of every K consecutive digits of the number are equal.
Examples:
Input: N = 2, K=1
Output: 9
Explanation:
All two digit numbers satisfying the required conditions are {11, 22, 33, 44, 55, 66, 77, 88, 99}
Input: N = 3, K = 2
Output: 90
Naive and Sliding Window Approach: Refer to Count of N digit Numbers whose sum of every K consecutive digits is equal for the simplest approach and Sliding Window technique based approach.
Logarithmic Approach:
For the sum of K-consecutive elements to be always equal, the entire number is governed by its first K digits.
- The ith digit will be equal to the (i-k)th digit for the number to satisfy the condition such that the sum of every K consecutive digit is the same.
Illustration:
N = 5 and K = 2
If the first two digits are 1 and 2, then the number has to be 12121 so that sum of every 2 consecutive digits is 3.
Observe that the first 2 digits i.e. the first K digits repeats itself.
Therefore, to solve the problem, the task is now to find out the total count of K-digit numbers which is equal to 10K – 10(K-1). Therefore, print the calculated value as the answer.
Below is the implementation of the above approach:
C++
#include <bits/stdc++.h>
using namespace std;
void count( int n, int k)
{
long count = ( long )( pow (10, k) - pow (10, k - 1));
cout << (count);
}
int main()
{
int n = 2, k = 1;
count(n, k);
}
|
Java
class GFG {
public static void count( int n, int k)
{
long count
= ( long )(Math.pow( 10 , k)
- Math.pow( 10 , k - 1 ));
System.out.print(count);
}
public static void main(String[] args)
{
int n = 2 , k = 1 ;
count(n, k);
}
}
|
Python3
def count(n, k):
count = ( pow ( 10 , k) - pow ( 10 , k - 1 ));
print (count);
if __name__ = = '__main__' :
n = 2 ;
k = 1 ;
count(n, k);
|
C#
using System;
class GFG{
public static void count( int n, int k)
{
long count = ( long )(Math.Pow(10, k) -
Math.Pow(10, k - 1));
Console.Write(count);
}
public static void Main(String[] args)
{
int n = 2, k = 1;
count(n, k);
}
}
|
Javascript
<script>
function count(n, k)
{
let count = Math.pow(10, k) - Math.pow(10, k - 1);
document.write(count);
}
let n = 2, k = 1;
count(n, k);
</script>
|
Time Complexity: O(log K)
Auxiliary Space: O(1)
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Last Updated :
13 Apr, 2021
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