Connect a graph by M edges such that the graph does not contain any cycle and Bitwise AND of connected vertices is maximum

Given an array arr[] consisting of values of N vertices of an initially unconnected Graph and an integer M, the task is to connect some vertices of the graph with exactly M edges, forming only one connected component, such that no cycle can be formed and Bitwise AND of the connected vertices is maximum possible.
Examples:
Input: arr[] = {1, 2, 3, 4}, M = 2
Output: 0
Explanation:
Following arrangement of M edges between the given vertices are:
1->2->3 (1 & 2 & 3 = 0).
2->3->4 (2 & 3 & 4 = 0).
3->4->1 (3 & 4 & 1 = 0).
1->2->4 (1 & 2 & 4 = 0).
Therefore, the maximum Bitwise AND value among all the cases is 0.Input: arr[] = {4, 5, 6}, M = 2
Output: 4
Explanation:
Only possible way to add M edges is 4 -> 5 -> 6 (4 & 5 & 6 = 4).
Therefore, the maximum Bitwise AND value possible is 4.
Approach: The idea to solve the given problem is to generate all possible combinations of connecting vertices using M edges and print the maximum Bitwise AND among all possible combinations.
The total number of ways for connecting N vertices is 2N and there should be (M + 1) vertices to make only one connected component. Follow the steps to solve the given problem:
- Initialize two variables, say AND and ans as 0 to store the maximum Bitwise AND, and Bitwise AND of nodes of any possible connected component respectively.
- Iterate over the range [1, 2N] using a variable, say i, and perform the following steps:
- If i has (M + 1) set bits, then find the Bitwise AND of the position of set bits and store it in the variable, say ans.
- If the value of AND exceeds ans, then update the value of AND as ans.
- After completing the above steps, print the value of AND as the resultant maximum Bitwise AND.
Below is the implementation of the above approach:
C++
// C++ program for the above approach#include <bits/stdc++.h>using namespace std;// Function to find the maximum Bitwise// AND of connected components possible// by connecting a graph using M edgesint maximumAND(int arr[], int n, int m){ // Stores total number of // ways to connect the graph int tot = 1 << n; // Stores the maximum Bitwise AND int mx = 0; // Iterate over the range [0, 2^n] for (int bm = 0; bm < tot; bm++) { // Store the Bitwise AND of // the connected vertices int andans = 0; // Store the count of the // connected vertices int count = 0; // Check for all the bits for (int i = 0; i < n; ++i) { // If i-th bit is set if ((bm >> i) & 1) { // If the first vertex is added if (count == 0) { // Set andans equal to arr[i] andans = arr[i]; } else { // Calculate Bitwise AND // of arr[i] with andans andans = andans & arr[i]; } // Increase the count of // connected vertices count++; } } // If number of connected vertices // is (m + 1), no cycle is formed if (count == (m + 1)) { // Find the maximum Bitwise // AND value possible mx = max(mx, andans); } } // Return the maximum // Bitwise AND possible return mx;}// Driver Codeint main(){ int arr[] = { 1, 2, 3, 4 }; int N = sizeof(arr) / sizeof(arr[0]); int M = 2; cout << maximumAND(arr, N, M); return 0;} |
Java
// Java program for the above approachimport java.util.*;class GFG{// Function to find the maximum Bitwise// AND of connected components possible// by connecting a graph using M edgesstatic int maximumAND(int arr[], int n, int m){ // Stores total number of // ways to connect the graph int tot = 1 << n; // Stores the maximum Bitwise AND int mx = 0; // Iterate over the range [0, 2^n] for(int bm = 0; bm < tot; bm++) { // Store the Bitwise AND of // the connected vertices int andans = 0; // Store the count of the // connected vertices int count = 0; // Check for all the bits for(int i = 0; i < n; ++i) { // If i-th bit is set if (((bm >> i) & 1) != 0) { // If the first vertex is added if (count == 0) { // Set andans equal to arr[i] andans = arr[i]; } else { // Calculate Bitwise AND // of arr[i] with andans andans = andans & arr[i]; } // Increase the count of // connected vertices count++; } } // If number of connected vertices // is (m + 1), no cycle is formed if (count == (m + 1)) { // Find the maximum Bitwise // AND value possible mx = Math.max(mx, andans); } } // Return the maximum // Bitwise AND possible return mx;}// Driver Codepublic static void main(String args[]){ int arr[] = { 1, 2, 3, 4 }; int N = arr.length; int M = 2; System.out.println(maximumAND(arr, N, M));}}// This code is contributed by souravghosh0416 |
Python3
# Python3 program for the above approach# Function to find the maximum Bitwise# AND of connected components possible# by connecting a graph using M edgesdef maximumAND(arr, n, m): # Stores total number of # ways to connect the graph tot = 1 << n # Stores the maximum Bitwise AND mx = 0 # Iterate over the range [0, 2^n] for bm in range(tot): # Store the Bitwise AND of # the connected vertices andans = 0 # Store the count of the # connected vertices count = 0 # Check for all the bits for i in range(n): # If i-th bit is set if ((bm >> i) & 1): # If the first vertex is added if (count == 0): # Set andans equal to arr[i] andans = arr[i] else: # Calculate Bitwise AND # of arr[i] with andans andans = andans & arr[i] # Increase the count of # connected vertices count += 1 # If number of connected vertices # is (m + 1), no cycle is formed if (count == (m + 1)): # Find the maximum Bitwise # AND value possible mx = max(mx, andans) # Return the maximum # Bitwise AND possible return mx# Driver Codeif __name__ == '__main__': arr = [1, 2, 3, 4] N = len(arr) M = 2 print (maximumAND(arr, N, M))# This code is contributed by mohit kumar 29. |
C#
// C# program for the above approachusing System;class GFG{ // Function to find the maximum Bitwise// AND of connected components possible// by connecting a graph using M edgesstatic int maximumAND(int[] arr, int n, int m){ // Stores total number of // ways to connect the graph int tot = 1 << n; // Stores the maximum Bitwise AND int mx = 0; // Iterate over the range [0, 2^n] for(int bm = 0; bm < tot; bm++) { // Store the Bitwise AND of // the connected vertices int andans = 0; // Store the count of the // connected vertices int count = 0; // Check for all the bits for(int i = 0; i < n; ++i) { // If i-th bit is set if (((bm >> i) & 1) != 0 ) { // If the first vertex is added if (count == 0) { // Set andans equal to arr[i] andans = arr[i]; } else { // Calculate Bitwise AND // of arr[i] with andans andans = andans & arr[i]; } // Increase the count of // connected vertices count++; } } // If number of connected vertices // is (m + 1), no cycle is formed if (count == (m + 1)) { // Find the maximum Bitwise // AND value possible mx = Math.Max(mx, andans); } } // Return the maximum // Bitwise AND possible return mx;} // Driver Codestatic public void Main (){ int[] arr = { 1, 2, 3, 4 }; int N = arr.Length; int M = 2; Console.WriteLine(maximumAND(arr, N, M));}}// This code is contributed by avanitrachhadiya2155 |
Javascript
<script>// JavaScript program for the above approach// Function to find the maximum Bitwise// AND of connected components possible// by connecting a graph using M edgesfunction maximumAND(arr, n, m){ // Stores total number of // ways to connect the graph let tot = 1 << n; // Stores the maximum Bitwise AND let mx = 0; // Iterate over the range [0, 2^n] for(let bm = 0; bm < tot; bm++) { // Store the Bitwise AND of // the connected vertices let andans = 0; // Store the count of the // connected vertices let count = 0; // Check for all the bits for(let i = 0; i < n; ++i) { // If i-th bit is set if (((bm >> i) & 1) != 0) { // If the first vertex is added if (count == 0) { // Set andans equal to arr[i] andans = arr[i]; } else { // Calculate Bitwise AND // of arr[i] with andans andans = andans & arr[i]; } // Increase the count of // connected vertices count++; } } // If number of connected vertices // is (m + 1), no cycle is formed if (count == (m + 1)) { // Find the maximum Bitwise // AND value possible mx = Math.max(mx, andans); } } // Return the maximum // Bitwise AND possible return mx;}// Driver Code let arr = [ 1, 2, 3, 4 ]; let N = arr.length; let M = 2; document.write(maximumAND(arr, N, M)); </script> |
0
Time Complexity: O((2N)*N)
Auxiliary Space: O(N)
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