Count of Octal numbers upto N digits
Last Updated :
05 Sep, 2022
Given an integer N, the task is to find the count of natural octal numbers up to N digits.
Examples:
Input: N = 1
Output: 7
Explanation:
1, 2, 3, 4, 5, 6, 7 are 1 digit Natural Octal numbers.
Input: N = 2
Output: 63
Explanation:
There are a total of 56 two digit octal numbers and 7 one digit octal numbers. Therefore, 56 + 7 = 63.
Approach: On observing carefully, a geometric progression series is formed [ 7 56 448 3584 28672 229376… ] with the first term being 7 and a common ratio of 8.
Therefore,
Nth term = Number of Octal numbers of N digits = 7 * 8N - 1
Finally, count of all octal numbers up to N digits can be found out by iterating a loop from 1 to N and calculating the sum of ith term using the above formula.
Below is the implementation of the above approach:
C++
#include <bits/stdc++.h>
using namespace std;
int count( int N)
{
int sum = 0;
for ( int i = 1; i <= N; i++) {
sum += 7 * pow (8, i - 1);
}
return sum;
}
int main()
{
int N = 4;
cout << count(N);
return 0;
}
|
Java
public class GFG {
static int count( int N)
{
int sum = 0 ;
for ( int i = 1 ; i <= N; i++) {
sum += 7 * Math.pow( 8 , i - 1 );
}
return sum;
}
public static void main (String[] args)
{
int N = 4 ;
System.out.println(count(N));
}
}
|
Python3
def count(N) :
sum = 0 ;
for i in range (N + 1 ) :
sum + = 7 * ( 8 * * (i - 1 ));
return int ( sum );
if __name__ = = "__main__" :
N = 4 ;
print (count(N));
|
C#
using System;
class GFG
{
static int count( int N)
{
int sum = 0;
for ( int i = 1; i <= N; i++)
{
sum += ( int )(7 * Math.Pow(8, i - 1));
}
return sum;
}
public static void Main ()
{
int N = 4;
Console.WriteLine(count(N));
}
}
|
Javascript
<script>
function count(N)
{
var sum = 0;
for ( var i = 1; i <= N; i++) {
sum += 7 * Math.pow(8, i - 1);
}
return sum;
}
var N = 4;
document.write(count(N));
</script>
|
Time Complexity: O(N*logN) because using inbuilt pow function in loop, time complexity of pow function is logN
Auxiliary Space: O(1)
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