Given a tree, and the weights of all the nodes and an integer x, the task is to find a node i such that weight[i] xor x is minimum.
Examples:
Input:
x = 15
Output: 3
Node 1: 5 xor 15 = 10
Node 2: 10 xor 15 = 5
Node 3: 11 xor 15 = 4
Node 4: 8 xor 15 = 7
Node 5: 6 xor 15 = 9
Approach: Perform dfs on the tree and keep track of the node whose weighted xor with x gives the minimum value.
Below is the implementation of above approach:
C++
// C++ implementation of the approach #include <bits/stdc++.h> using namespace std; int minimum = INT_MAX, x, ans; vector< int > graph[100]; vector< int > weight(100); // Function to perform dfs to find // the minimum xored value void dfs( int node, int parent) { // If current value is less than // the current minimum if (minimum > (weight[node] ^ x)) { minimum = weight[node] ^ x; ans = node; } for ( int to : graph[node]) { if (to == parent) continue ; dfs(to, node); } } // Driver code int main() { x = 15; // Weights of the node weight[1] = 5; weight[2] = 10; weight[3] = 11; weight[4] = 8; weight[5] = 6; // Edges of the tree graph[1].push_back(2); graph[2].push_back(3); graph[2].push_back(4); graph[1].push_back(5); dfs(1, 1); cout << ans; return 0; } |
Java
// Java implementation of the approach import java.util.*; import java.lang.*; class GFG { static int minimum = Integer.MAX_VALUE, x, ans; @SuppressWarnings ( "unchecked" ) static Vector<Integer>[] graph = new Vector[ 100 ]; static int [] weight = new int [ 100 ]; // This block is executed even before main() function // This is necessary otherwise this program will // throw "NullPointerException" static { for ( int i = 0 ; i < 100 ; i++) graph[i] = new Vector<>(); } // Function to perform dfs to find // the minimum xored value static void dfs( int node, int parent) { // If current value is less than // the current minimum if (minimum > (weight[node] ^ x)) { minimum = weight[node] ^ x; ans = node; } for ( int to : graph[node]) { if (to == parent) continue ; dfs(to, node); } } // Driver Code public static void main(String[] args) { x = 15 ; // Weights of the node weight[ 1 ] = 5 ; weight[ 2 ] = 10 ; weight[ 3 ] = 11 ; weight[ 4 ] = 8 ; weight[ 5 ] = 6 ; // Edges of the tree graph[ 1 ].add( 2 ); graph[ 2 ].add( 3 ); graph[ 2 ].add( 4 ); graph[ 1 ].add( 5 ); dfs( 1 , 1 ); System.out.println(ans); } } // This code is contributed by SHUBHAMSINGH10 |
C#
// C# implementation of the approach using System; using System.Collections.Generic; class GFG { static int minimum = int .MaxValue, x, ans; static List<List< int >> graph = new List<List< int >>(); static List< int > weight = new List< int >(); // Function to perform dfs to find // the minimum value static void dfs( int node, int parent) { // If current value is less than // the current minimum if (minimum > (weight[node] ^ x)) { minimum = weight[node] ^ x; ans = node; } for ( int i = 0; i < graph[node].Count; i++) { if (graph[node][i] == parent) continue ; dfs(graph[node][i], node); } } // Driver code public static void Main() { x = 15; // Weights of the node weight.Add(0); weight.Add(5); weight.Add(10); weight.Add(11);; weight.Add(8); weight.Add(6); for ( int i = 0; i < 100; i++) graph.Add( new List< int >()); // Edges of the tree graph[1].Add(2); graph[2].Add(3); graph[2].Add(4); graph[1].Add(5); dfs(1, 1); Console.Write( ans); } } // This code is contributed by SHUBHAMSINGH10 |
Python3
# Python implementation of the approach from sys import maxsize minimum, x, ans = maxsize, None , None graph = [[] for i in range ( 100 )] weight = [ 0 ] * 100 # Function to perform dfs to find # the minimum xored value def dfs(node, parent): global x, ans, graph, weight, minimum # If current value is less than # the current minimum if minimum > weight[node] ^ x: minimum = weight[node] ^ x ans = node for to in graph[node]: if to = = parent: continue dfs(to, node) # Driver Code if __name__ = = "__main__" : x = 15 # Weights of the node weight[ 1 ] = 5 weight[ 2 ] = 10 weight[ 3 ] = 11 weight[ 4 ] = 8 weight[ 5 ] = 6 # Edges of the tree graph[ 1 ].append( 2 ) graph[ 2 ].append( 3 ) graph[ 2 ].append( 4 ) graph[ 1 ].append( 5 ) dfs( 1 , 1 ) print (ans) # This code is contributed by # sanjeev2552 |
Javascript
<script> // Javascript implementation of the approach let minimum = Number.MAX_VALUE, x, ans; let graph = new Array(100); let weight = new Array(100); for (let i = 0; i < 100; i++) { graph[i] = []; weight[i] = 0; } // Function to perform dfs to find // the minimum xored value function dfs(node, parent) { // If current value is less than // the current minimum if (minimum > (weight[node] ^ x)) { minimum = weight[node] ^ x; ans = node; } for (let to = 0; to < graph[node].length; to++) { if (graph[node][to] == parent) continue ; dfs(graph[node][to], node); } } // Driver Code x = 15; // Weights of the node weight[1] = 5; weight[2] = 10; weight[3] = 11; weight[4] = 8; weight[5] = 6; // Edges of the tree graph[1].push(2); graph[2].push(3); graph[2].push(4); graph[1].push(5); dfs(1, 1); document.write(ans); // This code is contributed by unknown2108 </script> |
Output:
3
Time Complexity: O(N) where N is the number of nodes in the graph.
Space Complexity: O(N)
Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!