Find a number containing N - 1 set bits at even positions from the right
Last Updated :
31 May, 2022
Given a positive integer N, the task is to find a number which contains (N - 1) set bits in its binary form at every even index (1-based) from the right.
Examples:
Input: N = 2
Output: 2
Binary representation of 2 is 10 which has
1 set bit at even position from the right.
Input: N = 4
Output: 42
Binary representation of 42 is 101010
Observation: If we check out the numbers in binary form then the result is something like this:
| n | Decimal Equivalent | Binary Equivalent |
|---|
| 1 | 0 | 0 |
|---|
| 2 | 2 | 10 |
|---|
| 3 | 10 | 1010 |
|---|
| 4 | 42 | 101010 |
|---|
| 5 | 170 | 10101010 |
|---|
Naive Approach: As we can see in the table our binary equivalent is always adding a "10" in last of the previous string. So, we can generate a binary string which is made up of sub-string "10" concatenated N-1 times and then print its decimal equivalent.
Below is the implementation of the above approach:
C++
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
#define ll long long int
// Function to return the string generated
// by appending "10" n-1 times
string constructString(ll n)
{
// Initialising string as empty
string s = "";
for (ll i = 0; i < n; i++) {
s += "10";
}
return s;
}
// Function to return the decimal equivalent
// of the given binary string
ll binaryToDecimal(string n)
{
string num = n;
ll dec_value = 0;
// Initializing base value to 1
// i.e 2^0
ll base = 1;
ll len = num.length();
for (ll i = len - 1; i >= 0; i--) {
if (num[i] == '1')
dec_value += base;
base = base * 2;
}
return dec_value;
}
// Function that calls the constructString
// and binarytodecimal and returns the answer
ll findNumber(ll n)
{
string s = constructString(n - 1);
ll num = binaryToDecimal(s);
return num;
}
// Driver code
int main()
{
ll n = 4;
cout << findNumber(n);
return 0;
}
Java
// Java implementation of above approach
import java.util.*;
class GFG
{
// Function to return the String generated
// by appending "10" n-1 times
static String constructString(int n)
{
// Initialising String as empty
String s = "";
for (int i = 0; i < n; i++)
{
s += "10";
}
return s;
}
// Function to return the decimal equivalent
// of the given binary String
static int binaryToDecimal(String n)
{
String num = n;
int dec_value = 0;
// Initializing base value to 1
// i.e 2^0
int base = 1;
int len = num.length();
for (int i = len - 1; i >= 0; i--)
{
if (num.charAt(i) == '1')
dec_value += base;
base = base * 2;
}
return dec_value;
}
// Function that calls the constructString
// and binarytodecimal and returns the answer
static int findNumber(int n)
{
String s = constructString(n - 1);
int num = binaryToDecimal(s);
return num;
}
// Driver code
public static void main(String[] args)
{
int n = 4;
System.out.println(findNumber(n));
}
}
/* This code is contributed by PrinciRaj1992 */
Python
# Python3 implementation of the approach
# Function to return the generated
# by appending "10" n-1 times
def constructString(n):
# Initialising as empty
s = ""
for i in range(n):
s += "10"
return s
# Function to return the decimal equivaLent
# of the given binary string
def binaryToDecimal(n):
num = n
dec_value = 0
# Initializing base value to 1
# i.e 2^0
base = 1
Len = len(num)
for i in range(Len - 1,-1,-1):
if (num[i] == '1'):
dec_value += base
base = base * 2
return dec_value
# Function that calls the constructString
# and binarytodecimal and returns the answer
def findNumber(n):
s = constructString(n - 1)
num = binaryToDecimal(s)
return num
# Driver code
n = 4
print(findNumber(n))
# This code is contributed by mohit kumar 29
C#
// C# implementation of above approach
using System;
class GFG
{
// Function to return the String generated
// by appending "10" n-1 times
static String constructString(int n)
{
// Initialising String as empty
String s = "";
for (int i = 0; i < n; i++)
{
s += "10";
}
return s;
}
// Function to return the decimal equivalent
// of the given binary String
static int binaryToDecimal(String n)
{
String num = n;
int dec_value = 0;
// Initializing base value to 1
// i.e 2^0
int base_t = 1;
int len = num.Length;
for (int i = len - 1; i >= 0; i--)
{
if (num[i] == '1')
dec_value = dec_value + base_t;
base_t = base_t * 2;
}
return dec_value;
}
// Function that calls the constructString
// and binarytodecimal and returns the answer
static int findNumber(int n)
{
String s = constructString(n - 1);
int num = binaryToDecimal(s);
return num;
}
// Driver code
static public void Main ()
{
int n = 4;
Console.Write(findNumber(n));
}
}
// This code is contributed by ajit
JavaScript
<script>
// JavaScript implementation of above approach
// Function to return the String generated
// by appending "10" n-1 times
function constructString(n)
{
// Initialising String as empty
var s = "";
for (var i = 0; i < n; i++)
{
s += "10";
}
return s;
}
// Function to return the decimal equivalent
// of the given binary String
function binaryToDecimal(n)
{
var num = n;
var dec_value = 0;
// Initializing base value to 1
// i.e 2^0
var base = 1;
var len = num.length;
for (var i = len - 1; i >= 0; i--)
{
if (num.charAt(i) == '1')
dec_value += base;
base = base * 2;
}
return dec_value;
}
// Function that calls the constructString
// and binarytodecimal and returns the answer
function findNumber(n)
{
var s = constructString(n - 1);
var num = binaryToDecimal(s);
return num;
}
// Driver code
var n = 4;
document.write(findNumber(n));
// This code is contributed by Amit Katiyar
</script>
Efficient Approach: If we take the numbers and convert them to base 4 we can see an interesting pattern as follows:
| n | Decimal Equivalent | Binary Equivalent | Base_4 |
|---|
| 1 | 0 | 0 | 0 |
|---|
| 2 | 2 | 10 | 2 |
|---|
| 3 | 10 | 1010 | 22 |
|---|
| 4 | 42 | 101010 | 222 |
|---|
| 5 | 170 | 10101010 | 2222 |
|---|
We are actually appending "2" for every nth term in base4 i.e. for n = 7 our number in base4 would have (n - 1) i.e. 6 consecutive 2's.
Now we have to take a point in mind as we know that if we convert from any base m to base 10 i.e. decimal than the solution is (n0 * m0 + n1 * m1 + n2 * m2 + .... + n * mn). So as our base is 4 by further calculation we can found that our required number n can be found by using the deduced formula in O(1) time complexity.
Formula:
A(n) = floor((2 / 3) * (4n - 1))
Below is the implementation of the above approach:
C++
// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
#define ll long long int
// Function to compute number
// using our deduced formula
ll findNumber(int n)
{
// Initialize num to n-1
ll num = n - 1;
num = 2 * (ll)pow(4, num);
num = floor(num / 3.0);
return num;
}
// Driver code
int main()
{
int n = 5;
cout << findNumber(n);
return 0;
}
Java
// Java implementation of the approach
import java.io.*;
class GFG
{
// Function to compute number
// using our deduced formula
static int findNumber(int n)
{
// Initialize num to n-1
int num = n - 1;
num = 2 * (int)Math.pow(4, num);
num = (int)Math.floor(num / 3.0);
return num;
}
// Driver code
public static void main (String[] args)
{
int n = 5;
System.out.println (findNumber(n));
}
}
// The code is contributed by ajit.
Python3
# Python3 implementation of the approach
# Function to compute number
# using our deduced formula
def findNumber(n) :
# Initialize num to n-1
num = n - 1;
num = 2 * (4 ** num);
num = num // 3;
return num;
# Driver code
if __name__ == "__main__" :
n = 5;
print(findNumber(n));
# This code is contributed by AnkitRai01
C#
// C# implementation of the approach
using System;
class GFG
{
// Function to compute number
// using our deduced formula
static int findNumber(int n)
{
// Initialize num to n-1
int num = n - 1;
num = 2 * (int)Math.Pow(4, num);
num = (int)Math.Floor(num / 3.0);
return num;
}
// Driver code
static public void Main ()
{
int n = 5;
Console.Write(findNumber(n));
}
}
// The code is contributed by Tushil.
JavaScript
<script>
// Javascript implementation of the approach
// Function to compute number
// using our deduced formula
function findNumber(n)
{
// Initialize num to n-1
let num = n - 1;
num = 2 * Math.pow(4, num);
num = Math.floor(num / 3.0);
return num;
}
let n = 5;
document.write(findNumber(n));
</script>
Time Complexity: O(1)
Auxiliary Space: O(1)
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