Given an array arr[] of size N, the task is to print the nearest power of 2 for each array element.
Note: If there happens to be two nearest powers of 2, consider the larger one.
Examples:
Input: arr[] = {5, 2, 7, 12}
Output: 4 2 8 16
Explanation:
The nearest power of arr[0] ( = 5) is 4.
The nearest power of arr[1] ( = 2) is 2.
The nearest power of arr[2] ( = 7) is 8.
The nearest power of arr[3] ( = 12) are 8 and 16. Print 16, as it is the largest.Input: arr[] = {31, 13, 64}
Output: 32 16 64
Approach: Follow the steps below to solve the problem:
- Traverse the array from left to right.
- For every array element, find the nearest powers of 2 greater and smaller than it, i.e. calculate pow(2, log2(arr[i])) and pow(2, log2(arr[i]) + 1).
- Calculate difference of these two values from the current array element and print the nearest as specified in the problem statement.
Below is the implementation of the above approach:
// C++ program to implement
// the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to find nearest power of two
// for every element in the given array
void nearestPowerOfTwo(int arr[], int N)
{
// Traverse the array
for (int i = 0; i < N; i++) {
// Calculate log of the
// current array element
int lg = log2(arr[i]);
int a = pow(2, lg);
int b = pow(2, lg + 1);
// Find the nearest
if ((arr[i] - a) < (b - arr[i]))
cout << a << " ";
else
cout << b << " ";
}
}
// Driver Code
int main()
{
int arr[] = { 5, 2, 7, 12 };
int N = sizeof(arr) / sizeof(arr[0]);
nearestPowerOfTwo(arr, N);
return 0;
}
// Java program to implement the above approach
import java.io.*;
class GFG {
// Function to find the nearest power of two
// for every element of the given array
static void nearestPowerOfTwo(int[] arr, int N)
{
// Traverse the array
for (int i = 0; i < N; i++) {
// Calculate log of the
// current array element
int lg = (int)(Math.log(arr[i])
/ Math.log(2));
int a = (int)(Math.pow(2, lg));
int b = (int)(Math.pow(2, lg + 1));
// Find the nearest
if ((arr[i] - a) < (b - arr[i]))
System.out.print(a + " ");
else
System.out.print(b + " ");
}
}
// Driver Code
public static void main(String[] args)
{
int[] arr = { 5, 2, 7, 12 };
int N = arr.length;
nearestPowerOfTwo(arr, N);
}
}
# Python program to implement the above approach
import math
# Function to find the nearest power
# of two for every array element
def nearestPowerOfTwo(arr, N):
# Traverse the array
for i in range(N):
# Calculate log of current array element
lg = (int)(math.log2(arr[i]))
a = (int)(math.pow(2, lg))
b = (int)(math.pow(2, lg + 1))
# Find the nearest
if ((arr[i] - a) < (b - arr[i])):
print(a, end = " ")
else:
print(b, end = " ")
# Driver Code
arr = [5, 2, 7, 12]
N = len(arr)
nearestPowerOfTwo(arr, N)
// C# program to implement the above approach
using System;
class GFG {
// Function to find nearest power of two
// for every array element
static void nearestPowerOfTwo(int[] arr, int N)
{
// Traverse the array
for (int i = 0; i < N; i++) {
// Calculate log of the
// current array element
int lg = (int)(Math.Log(arr[i])
/ Math.Log(2));
int a = (int)(Math.Pow(2, lg));
int b = (int)(Math.Pow(2, lg + 1));
// Find the nearest
if ((arr[i] - a) < (b - arr[i]))
Console.Write(a + " ");
else
Console.Write(b + " ");
}
}
// Driver Code
public static void Main(String[] args)
{
int[] arr = { 5, 2, 7, 12 };
int N = arr.Length;
nearestPowerOfTwo(arr, N);
}
}
<script>
// JavaScript program to implement
// the above approach
// Function to find the nearest power of two
// for every element of the given array
function nearestPowerOfTwo(arr , N) {
// Traverse the array
for (i = 0; i < N; i++) {
// Calculate log of the
// current array element
var lg = parseInt( (Math.log(arr[i]) / Math.log(2)));
var a = parseInt( (Math.pow(2, lg)));
var b = parseInt( (Math.pow(2, lg + 1)));
// Find the nearest
if ((arr[i] - a) < (b - arr[i]))
document.write(a + " ");
else
document.write(b + " ");
}
}
// Driver Code
var arr = [ 5, 2, 7, 12 ];
var N = arr.length;
nearestPowerOfTwo(arr, N);
// This code is contributed by todaysgaurav
</script>
Output:
4 2 8 16
Time Complexity: O(N)
Auxiliary Space: O(1)