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Maximum Bitwise AND value of subsequence of length K

Last Updated : 28 Mar, 2023
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Given an array a of size N and an integer K. The task is to find the maximum bitwise and value of elements of any subsequence of length K
Note: a[i] <= 109 
Examples: 

Input: a[] = {10, 20, 15, 4, 14}, K = 4 
Output:
{20, 15, 4, 14} is the subsequence with highest ‘&’ value. 
Input: a[] = {255, 127, 31, 5, 24, 37, 15}, K = 5 
Output: 8

Naive Approach: A naive approach is to recursively find the bitwise and value of all subsequences of length K and the maximum among all of them will be the answer. 

C++




// C++ code to calculate the
// maximum bitwise and of
// subsequence of size k.
#include <bits/stdc++.h>
using namespace std;
 
// for storing all bitwise and.
vector<int> v;
// Recursive function to print all
// possible subsequences for given array
void subsequence(int arr[], int index, vector<int>& subarr,
                 int n, int k)
{
    // calculate the bitwise and when reach
    // at last index
    if (index == n) {
        if (subarr.size() == k) {
            int ans = subarr[0];
            for (auto it : subarr) {
                ans = ans & it;
            }
            v.push_back(ans); // storing the bitwise
            // and to vector v.
        }
        return;
    }
    else {
        // pick the current index into the subsequence.
        subarr.push_back(arr[index]);
 
        subsequence(arr, index + 1, subarr, n, k);
 
        subarr.pop_back();
 
        // not picking the element into the subsequence.
        subsequence(arr, index + 1, subarr, n, k);
    }
}
 
// Driver Code
int main()
{
    int arr[] = { 255, 127, 31, 5, 24, 37, 15 };
    int n = sizeof(arr) / sizeof(arr[0]);
 
    int k = 5;
 
    vector<int> vec;
 
    subsequence(arr, 0, vec, n, k);
    // maximum bitwise and is
    cout << *max_element(v.begin(), v.end());
 
    return 0;
}
 
// This code is contributed by
// Naveen Gujjar from Haryana


Java




// Java code to calculate the
// maximum bitwise and of
// subsequence of size k.
import java.util.*;
 
class Main {
    // for storing all bitwise and.
    static ArrayList<Integer> v = new ArrayList<Integer>();
    // Recursive function to print all
    // possible subsequences for given array
    static void subsequence(int[] arr, int index,
                            ArrayList<Integer> subarr,
                            int n, int k)
    {
        // calculate the bitwise and when reach
        // at last index
        if (index == n) {
            if (subarr.size() == k) {
                int ans = subarr.get(0);
                for (int it : subarr) {
                    ans = ans & it;
                }
                v.add(ans); // storing the bitwise
                // and to vector v.
            }
            return;
        }
        else {
            // pick the current index into the subsequence.
            subarr.add(arr[index]);
 
            subsequence(arr, index + 1, subarr, n, k);
 
            subarr.remove(subarr.size() - 1);
 
            // not picking the element into the subsequence.
            subsequence(arr, index + 1, subarr, n, k);
        }
    }
 
    // Driver Code
    public static void main(String[] args)
    {
        int[] arr = { 255, 127, 31, 5, 24, 37, 15 };
        int n = arr.length;
 
        int k = 5;
 
        ArrayList<Integer> vec = new ArrayList<Integer>();
 
        subsequence(arr, 0, vec, n, k);
        // maximum bitwise and is
        System.out.println(Collections.max(v));
    }
}
// This code is contributed by user_dtewbxkn77n


Python3




import itertools
 
# for storing all bitwise and.
v = []
 
# Recursive function to print all
# possible subsequences for given array
def subsequence(arr, index, subarr, n, k):
    # calculate the bitwise and when reach
    # at last index
    if index == n:
        if len(subarr) == k:
            ans = subarr[0]
            for i in range(1, len(subarr)):
                ans &= subarr[i]
            v.append(ans)  # storing the bitwise
            # and to vector v.
        return
    else:
        # pick the current index into the subsequence.
        subarr.append(arr[index])
        subsequence(arr, index + 1, subarr, n, k)
        subarr.pop()
        # not picking the element into the subsequence.
        subsequence(arr, index + 1, subarr, n, k)
 
# Driver Code
if __name__ == "__main__":
    arr = [255, 127, 31, 5, 24, 37, 15]
    n = len(arr)
    k = 5
    vec = []
 
    subsequence(arr, 0, vec, n, k)
    # maximum bitwise and is
    print(max(v))


C#




// C# code to calculate the
// maximum bitwise and of
// subsequence of size k.
using System;
using System.Collections.Generic;
using System.Linq;
 
class GFG {
//for storing all bitwise and.
static List<int> v = new List<int>();
  // Recursive function to print all
// possible subsequences for given array
static void subsequence(int[] arr, int index,
                        List<int> subarr,int n,int k)
{
    // calculate the bitwise and when reach
    // at last index
    if (index == n)
    {
        if(subarr.Count==k){
            int ans=subarr[0];
            foreach (int it in subarr){
                ans &= it;   
            }
            v.Add(ans);// storing the bitwise
            // and to list v.
        }
        return;
    }
    else
    {
        //pick the current index into the subsequence.
        subarr.Add(arr[index]);
        subsequence(arr, index + 1, subarr,n,k);
 
        subarr.RemoveAt(subarr.Count-1);
        //not picking the element into the subsequence.
        subsequence(arr, index + 1, subarr,n,k);
    }
}
 
// Driver Code
static void Main()
{
    int[] arr={ 255, 127, 31, 5, 24, 37 ,15};
    int n=arr.Length;
    int k=5;
    List<int> vec = new List<int>();
 
    subsequence(arr, 0, vec,n,k);
    // maximum bitwise and is
    Console.WriteLine(v.Max());
}
}


Javascript




// Importing itertools is not necessary in JavaScript
 
// For storing all bitwise and.
let v = [];
 
// Recursive function to print all
// possible subsequences for given array
function subsequence(arr, index, subarr, n, k)
{
 
  // Calculate the bitwise and when reach
  // at last index
  if (index == n) {
    if (subarr.length == k) {
      let ans = subarr[0];
      for (let i = 1; i < subarr.length; i++) {
        ans &= subarr[i];
      }
      v.push(ans); // Storing the bitwise
      // and to vector v.
    }
    return;
  } else {
    // Pick the current index into the subsequence.
    subarr.push(arr[index]);
    subsequence(arr, index + 1, subarr, n, k);
    subarr.pop();
     
    // Not picking the element into the subsequence.
    subsequence(arr, index + 1, subarr, n, k);
  }
}
 
// Driver Code
let arr = [255, 127, 31, 5, 24, 37, 15];
let n = arr.length;
let k = 5;
let vec = [];
 
subsequence(arr, 0, vec, n, k);
 
// Maximum bitwise and is
console.log(Math.max(...v));


Output

8

Time Complexity: O(k*(2^n)) where k is the maximum subsequence length and n is the size of the array.

Auxiliary space: O(2^n) where n is the size of the array.

Approach 1: An efficient approach is to solve it using bit properties. Below are the steps to solve the problem: 

  • Iterate from the left(initially left = 31 as 232 > 109 ) till we find > K numbers in the vector temp (initially temp = arr) whose i-th bit is set. Update the new set of numbers to temp array
  • If we do not get > K numbers, the & value of any K elements in the temp array will be the maximum & value possible.
  • Repeat Step-1 with left re-initialized as first-bit + 1.

Below is the implementation of the above approach: 

C++




// C++ program to find the sum of
// the addition of all possible subsets.
#include <bits/stdc++.h>
using namespace std;
 
// Function to perform step-1
vector<int> findSubset(vector<int>& temp, int& last, int k)
{
    vector<int> ans;
 
    // Iterate from left till 0
    // till we get a bit set of K numbers
    for (int i = last; i >= 0; i--) {
        int cnt = 0;
 
        // Count the numbers whose
        // i-th bit is set
        for (auto it : temp) {
            int bit = it & (1 << i);
            if (bit > 0)
                cnt++;
        }
 
        // If the array has numbers>=k
        // whose i-th bit is set
        if (cnt >= k) {
            for (auto it : temp) {
                int bit = it & (1 << i);
                if (bit > 0)
                    ans.push_back(it);
            }
 
            // Update last
            last = i - 1;
 
            // Return the new set of numbers
            return ans;
        }
    }
 
    return ans;
}
 
// Function to find the maximum '&' value
// of K elements in subsequence
int findMaxiumAnd(int a[], int n, int k)
{
    int last = 31;
    // Temporary arrays
    vector<int> temp1, temp2;
 
    // Initially temp = arr
    for (int i = 0; i < n; i++) {
        temp2.push_back(a[i]);
    }
 
    // Iterate till we have >=K elements
    while ((int)temp2.size() >= k) {
 
        // Temp array
        temp1 = temp2;
 
        // Find new temp array if
        // K elements are there
        temp2 = findSubset(temp2, last, k);
    }
 
    // Find the & value
    int ans = temp1[0];
    for (int i = 0; i < k; i++)
        ans = ans & temp1[i];
 
    return ans;
}
 
// Driver Code
int main()
{
    int a[] = { 255, 127, 31, 5, 24, 37, 15 };
    int n = sizeof(a) / sizeof(a[0]);
    int k = 4;
 
    cout << findMaxiumAnd(a, n, k);
}


Java




// Java program to find the sum of
// the addition of all possible subsets.
import java.util.*;
class GFG
{
static int last;
 
// Function to perform step-1
static Vector<Integer>
       findSubset(Vector<Integer> temp, int k)
{
    Vector<Integer> ans = new Vector<Integer>();
 
    // Iterate from left till 0
    // till we get a bit set of K numbers
    for (int i = last; i >= 0; i--)
    {
        int cnt = 0;
 
        // Count the numbers whose
        // i-th bit is set
        for (Integer it : temp)
        {
            int bit = it & (1 << i);
            if (bit > 0)
                cnt++;
        }
 
        // If the array has numbers>=k
        // whose i-th bit is set
        if (cnt >= k)
        {
            for (Integer it : temp)
            {
                int bit = it & (1 << i);
                if (bit > 0)
                    ans.add(it);
            }
 
            // Update last
            last = i - 1;
 
            // Return the new set of numbers
            return ans;
        }
    }
    return ans;
}
 
// Function to find the maximum '&' value
// of K elements in subsequence
static int findMaxiumAnd(int a[], int n, int k)
{
    last = 31;
     
    // Temporary arrays
    Vector<Integer> temp1 = new Vector<Integer>();
    Vector<Integer> temp2 = new Vector<Integer>();;
 
    // Initially temp = arr
    for (int i = 0; i < n; i++)
    {
        temp2.add(a[i]);
    }
 
    // Iterate till we have >=K elements
    while ((int)temp2.size() >= k)
    {
 
        // Temp array
        temp1 = temp2;
 
        // Find new temp array if
        // K elements are there
        temp2 = findSubset(temp2, k);
    }
 
    // Find the & value
    int ans = temp1.get(0);
    for (int i = 0; i < k; i++)
        ans = ans & temp1.get(i);
 
    return ans;
}
 
// Driver Code
public static void main(String[] args)
{
    int a[] = { 255, 127, 31, 5, 24, 37, 15 };
    int n = a.length;
    int k = 4;
 
    System.out.println(findMaxiumAnd(a, n, k));
}
}
 
// This code is contributed by 29AjayKumar


Python3




# Python3 program to find the sum of
# the addition of all possible subsets.
last = 31
 
# Function to perform step-1
def findSubset(temp, k):
    global last
    ans = []
 
    # Iterate from left till 0
    # till we get a bit set of K numbers
    for i in range(last, -1, -1):
        cnt = 0
 
        # Count the numbers whose
        # i-th bit is set
        for it in temp:
            bit = it & (1 << i)
            if (bit > 0):
                cnt += 1
 
        # If the array has numbers>=k
        # whose i-th bit is set
        if (cnt >= k):
            for it in temp:
                bit = it & (1 << i)
                if (bit > 0):
                    ans.append(it)
 
            # Update last
            last = i - 1
 
            # Return the new set of numbers
            return ans
 
    return ans
 
# Function to find the maximum '&' value
# of K elements in subsequence
def findMaxiumAnd(a, n, k):
    global last
 
    # Temporary arrays
    temp1, temp2, = [], []
 
    # Initially temp = arr
    for i in range(n):
        temp2.append(a[i])
 
    # Iterate till we have >=K elements
    while len(temp2) >= k:
 
        # Temp array
        temp1 = temp2
 
        # Find new temp array if
        # K elements are there
        temp2 = findSubset(temp2, k)
 
    # Find the & value
    ans = temp1[0]
    for i in range(k):
        ans = ans & temp1[i]
 
    return ans
 
# Driver Code
a = [255, 127, 31, 5, 24, 37, 15]
n = len(a)
k = 4
 
print(findMaxiumAnd(a, n, k))
 
# This code is contributed by Mohit Kumar


C#




// C# program to find the sum of
// the addition of all possible subsets.
using System;
using System.Collections.Generic;
 
class GFG
{
static int last;
 
// Function to perform step-1
static List<int>findSubset(List<int> temp, int k)
{
    List<int> ans = new List<int>();
 
    // Iterate from left till 0
    // till we get a bit set of K numbers
    for (int i = last; i >= 0; i--)
    {
        int cnt = 0;
 
        // Count the numbers whose
        // i-th bit is set
        foreach (int it in temp)
        {
            int bit = it & (1 << i);
            if (bit > 0)
                cnt++;
        }
 
        // If the array has numbers>=k
        // whose i-th bit is set
        if (cnt >= k)
        {
            foreach (int it in temp)
            {
                int bit = it & (1 << i);
                if (bit > 0)
                    ans.Add(it);
            }
 
            // Update last
            last = i - 1;
 
            // Return the new set of numbers
            return ans;
        }
    }
    return ans;
}
 
// Function to find the maximum '&' value
// of K elements in subsequence
static int findMaxiumAnd(int []a, int n, int k)
{
    last = 31;
     
    // Temporary arrays
    List<int> temp1 = new List<int>();
    List<int> temp2 = new List<int>();;
 
    // Initially temp = arr
    for (int i = 0; i < n; i++)
    {
        temp2.Add(a[i]);
    }
 
    // Iterate till we have >=K elements
    while ((int)temp2.Count >= k)
    {
 
        // Temp array
        temp1 = temp2;
 
        // Find new temp array if
        // K elements are there
        temp2 = findSubset(temp2, k);
    }
 
    // Find the & value
    int ans = temp1[0];
    for (int i = 0; i < k; i++)
        ans = ans & temp1[i];
 
    return ans;
}
 
// Driver Code
public static void Main(String[] args)
{
    int []a = { 255, 127, 31, 5, 24, 37, 15 };
    int n = a.Length;
    int k = 4;
 
    Console.WriteLine(findMaxiumAnd(a, n, k));
}
}
 
// This code is contributed by Rajput-Ji


Javascript




<script>
// Javascript program to find the sum of
// the addition of all possible subsets.
 
// Function to perform step-1
function findSubset(temp,k)
{
    let ans = [];
   
    // Iterate from left till 0
    // till we get a bit set of K numbers
    for (let i = last; i >= 0; i--)
    {
        let cnt = 0;
   
        // Count the numbers whose
        // i-th bit is set
        for (let it=0;it< temp.length;it++)
        {
            let bit = temp[it] & (1 << i);
            if (bit > 0)
                cnt++;
        }
   
        // If the array has numbers>=k
        // whose i-th bit is set
        if (cnt >= k)
        {
            for (let it=0;it< temp.length;it++)
            {
                let bit = temp[it] & (1 << i);
                if (bit > 0)
                    ans.push(temp[it]);
            }
   
            // Update last
            last = i - 1;
   
            // Return the new set of numbers
            return ans;
        }
    }
    return ans;
}
 
// Function to find the maximum '&' value
// of K elements in subsequence
function findMaxiumAnd(a,n,k)
{
    last = 31;
       
    // Temporary arrays
    let temp1 = [];
    let temp2 = [];
   
    // Initially temp = arr
    for (let i = 0; i < n; i++)
    {
        temp2.push(a[i]);
    }
   
    // Iterate till we have >=K elements
    while (temp2.length >= k)
    {
   
        // Temp array
        temp1 = temp2;
   
        // Find new temp array if
        // K elements are there
        temp2 = findSubset(temp2, k);
    }
   
    // Find the & value
    let ans = temp1[0];
    for (let i = 0; i < k; i++)
        ans = ans & temp1[i];
   
    return ans;
}
 
// Driver Code
let a=[255, 127, 31, 5, 24, 37, 15 ];
let n = a.length;
let k = 4;
document.write(findMaxiumAnd(a, n, k));
 
 
 
// This code is contributed by unknown2108
</script>


Output: 

24

 

Time Complexity: O(N*N), as we are using a loop to traverse N times and in each traversal we are calling the findSubset function which will cost O (N) time. Where N is the number of elements in the array.

Auxiliary Space: O(N), as we are using extra space for the temp array. Where N is the number of elements in the array.

Approach 2:

 The idea is based on the property of AND operator. AND operation of any two bits 
results in 1 if both bits are 1 else if any bit is 0 then result is 0. So We start 
from the MSB and check whether we have a minimum of K elements of array having set 
value. If yes then that MSB will be part of our solution and be added to result 
otherwise we will discard that bit. Similarly,iterating from MSB to LSB (32 to 1) for 
bit position we can easily check which bit will be part of our solution and will keep 
adding all such bits to our solution.

Following are the steps to implement above idea :

  • Initialize result variable with 0 .
  • Run a outer for loop from j : 31 to 0 (for every bit) 
  • Initialize temporary variable with ( res | (1<<j) ) .
  • Initialize count variable with 0 .
  • Run a inner for loop from i : 0 to n-1 and check
  1. if ( ( temporary & A[i] ) == temporary ) then count++ .
  • After inner for loop gets over then check : 
  1. if ( count >= K ) then update result with temporary .
  • After outer for loops ends return result .
  • Print result .

Below is the code for above approach .

C++




#include <bits/stdc++.h>
using namespace std;
 
// function performing calculation
int max_and(int N, vector<int>& A, int K)
{
    // initializing result with 0 .
    int result = 0;
    for (int j = 31; j >= 0; j--) {
        // initializing temp with (result|(1<<j)) .
        int temp = (result | (1 << j));
        // initializing count with 0 .
        int count = 0;
        for (int j = 0; j < N; j++) {
            // counting the number of element having jth bit
            // set .
            if ((temp & A[j]) == temp) {
                count++;
            }
        }
        // checking if there exist K element with jth bit
        // set.
        if (count >= K) {
            // updating result with temp.
            result = temp;
        }
    }
    // returning result.
    return result;
}
 
// driver function
int main()
{
    // Given Array A
    vector<int> A = { 255, 127, 31, 5, 24, 37 ,15 };
    // Size of Array A .
    int N = 7;
    // Required Subsequence size
    int K = 4;
 
    // calling function performing calculation and printing
    // the result.
    cout
        << "Maximum AND of subsequence of A of size K is : "
        << max_and(N, A, K);
    return 0;
}


Java




import java.util.*;
 
class Main {
  public static int max_and(int N, ArrayList<Integer> A, int K) {
    // initializing result with 0 .
    int result = 0;
    for (int j = 31; j >= 0; j--) {
        // initializing temp with (result|(1<<j)) .
        int temp = (result | (1 << j));
        // initializing count with 0 .
        int count = 0;
        for (int i = 0; i < N; i++) {
            // counting the number of element having jth bit
            // set .
            if ((temp & A.get(i)) == temp) {
                count++;
            }
        }
        // checking if there exist K element with jth bit
        // set.
        if (count >= K) {
            // updating result with temp.
            result = temp;
        }
    }
    // returning result.
    return result;
  }
 
  public static void main(String[] args) {
    // Given Array A
    ArrayList<Integer> A = new ArrayList<Integer>(Arrays.asList(255, 127, 31, 5, 24, 37 ,15));
    // Size of Array A .
    int N = 7;
    // Required Subsequence size
    int K = 4;
 
    // calling function performing calculation and printing
    // the result.
    System.out.println("Maximum AND of subsequence of A of size K is : " + max_and(N, A, K));
  }
}


Python3




# Python program to find the sum of
# the addition of all possible subsets.
 
# function performing calculation
def max_and(N, A, K):
 
    # initializing result with 0 .
    result = 0
    for j in range(31, -1, -1):
     
        # initializing temp with (result|(1<<j)) .
        temp = (result | (1 << j))
         
        # initializing count with 0 .
        count = 0
        for j in range(N):
         
            # counting the number of element having jth bit
            # set .
            if (temp & A[j]) == temp:
                count = count + 1
         
        # checking if there exist K element with jth bit
        # set.
        if count >= K:
         
            # updating result with temp.
            result = temp
     
    # returning result.
    return result
 
# Given Array A
A = [ 255, 127, 31, 5, 24, 37 ,15 ]
 
# Size of Array A .
N = 7
 
# Required Subsequence size
K = 4
 
# calling function performing calculation and printing
# the result.
print("Maximum AND of subsequence of A of size K is : ", max_and(N, A, K))
 
# The code is contributed by Nidhi goel.


Javascript




// Javascript program to find the sum of
// the addition of all possible subsets.
 
// function performing calculation
function max_and(N, A, K)
{
 
    // initializing result with 0 .
    let result = 0;
    for (let j = 31; j >= 0; j--)
    {
     
        // initializing temp with (result|(1<<j)) .
        let temp = (result | (1 << j));
         
        // initializing count with 0 .
        let count = 0;
        for (let j = 0; j < N; j++)
        {
         
            // counting the number of element having jth bit
            // set .
            if ((temp & A[j]) == temp) {
                count = count + 1;
            }
        }
         
        // checking if there exist K element with jth bit
        // set.
        if (count >= K)
        {
         
            // updating result with temp.
            result = temp;
        }
    }
     
    // returning result.
    return result;
}
 
// Given Array A
let A = [ 255, 127, 31, 5, 24, 37 ,15 ];
 
// Size of Array A .
let N = 7;
 
// Required Subsequence size
let K = 4;
 
// calling function performing calculation and printing
// the result.
console.log("Maximum AND of subsequence of A of size K is : ", max_and(N, A, K));
 
// The code is contributed by Gautam goel.


C#




// C# program to find the sum of
// the addition of all possible subsets.
using System;
 
class GFG
{
 
// Function to find the maximum '&' value
// of K elements in subsequence
static int findMaxiumAnd(int []a, int n, int k)
{
    // initializing result with 0 .
    int result = 0;
    for (int j = 31; j >= 0; j--) {
        // initializing temp with (result|(1<<j)) .
        int temp = (result | (1 << j));
        // initializing count with 0 .
        int count = 0;
        for (int i = 0; i < n; i++) {
            // counting the number of element having jth bit
            // set .
            if ((temp & a[i]) == temp) {
                count++;
            }
        }
        // checking if there exist K element with jth bit
        // set.
        if (count >= k) {
            // updating result with temp.
            result = temp;
        }
    }
    // returning result.
    return result;
}
 
// Driver Code
public static void Main(String[] args)
{
    int []a = { 255, 127, 31, 5, 24, 37, 15 };
    int n = a.Length;
    int k = 4;
 
    Console.WriteLine(findMaxiumAnd(a, n, k));
}
}
 
// This code is contributed by shubhamrajput6156


Output

Maximum AND of subsequence of A of size K is : 24

Time Complexity: O(32*N): where N is the size of Array A 
Auxiliary Space: O(1) 



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