Sub-tree with minimum color difference in a 2-coloured tree
A tree with N nodes and N-1 edges is given with 2 different colours for its nodes.
Find the sub-tree with minimum colour difference i.e. abs(1-colour nodes – 2-colour nodes) is minimum.
Examples:
Input :
Edges : 1 2
1 3
2 4
3 5
Colours : 1 1 2 2 1 [1-based indexing where
index denotes the node]
Output : 2
Explanation : The sub-tree {1-2} and {1-2-3-5}
have color difference of 2. Sub-tree {1-2} has two
1-colour nodes and zero 2-colour nodes. So, color
difference is 2. Sub-tree {1-2-3-5} has three 1-colour
nodes and one 2-colour nodes. So color diff = 2.
Method 1 : The problem can be solved by checking every possible sub-tree from every node of the tree. This will take exponential time as we will check for sub-trees from every node.
Method 2 : (Efficient) If we observe, we are solving a portion of the tree several times. This produces recurring sub-problems. We can use Dynamic Programming approach to get the minimum color difference in one traversal. To make things simpler, we can have color values as 1 and -1. Now, if we have a sub-tree with both colored nodes equal, our sum of colors will be 0. To get the minimum difference, we should have maximum negative sum or maximum positive sum.
- Case 1 When we need to have a sub-tree with maximum sum : We take a node if its value > 0, i.e. sum(parent) += max(0, sum(child))
- Case 2 When we need to have a sub-tree with minimum sum(or max negative sum) : We take a node if its value < 0, i.e. sum(parent) += min(0, sum(child))
To get the minimum sum, we can interchange the colors of nodes, i.e. -1 becomes 1 and vice-versa.
Below is the implementation :
C++
// CPP code to find the sub-tree with minimum color // difference in a 2-coloured tree #include <bits/stdc++.h> using namespace std; // Tree traversal to compute minimum difference void dfs(int node, int parent, vector<int> tree[], int colour[], int answer[]) { // Initial min difference is the color of node answer[node] = colour[node]; // Traversing its children for (auto u : tree[node]) { // Not traversing the parent if (u == parent) continue; dfs(u, node, tree, colour, answer); // If the child is adding positively to // difference, we include it in the answer // Otherwise, we leave the sub-tree and // include 0 (nothing) in the answer answer[node] += max(answer[u], 0); } } int maxDiff(vector<int> tree[], int colour[], int N) { int answer[N + 1]; memset(answer, 0, sizeof(answer)); // DFS for colour difference : 1colour - 2colour dfs(1, 0, tree, colour, answer); // Minimum colour difference is maximum answer value int high = 0; for (int i = 1; i <= N; i++) { high = max(high, answer[i]); // Clearing the current value // to check for colour2 as well answer[i] = 0; } // Interchanging the colours for (int i = 1; i <= N; i++) { if (colour[i] == -1) colour[i] = 1; else colour[i] = -1; } // DFS for colour difference : 2colour - 1colour dfs(1, 0, tree, colour, answer); // Checking if colour2 makes the minimum colour // difference for (int i = 1; i < N; i++) high = max(high, answer[i]); return high; } // Driver code int main() { // Nodes int N = 5; // Adjacency list representation vector<int> tree[N + 1]; // Edges tree[1].push_back(2); tree[2].push_back(1); tree[1].push_back(3); tree[3].push_back(1); tree[2].push_back(4); tree[4].push_back(2); tree[3].push_back(5); tree[5].push_back(3); // Index represent the colour of that node // There is no Node 0, so we start from // index 1 to N int colour[] = { 0, 1, 1, -1, -1, 1 }; // Printing the result cout << maxDiff(tree, colour, N); return 0; } |
Java
// Java code to find the sub-tree // with minimum color difference // in a 2-coloured tree import java.util.*; class GFG { // Tree traversal to compute minimum difference static void dfs(int node, int parent, Vector<Integer> tree[], int colour[], int answer[]) { // Initial min difference is // the color of node answer[node] = colour[node]; // Traversing its children for (Integer u : tree[node]) { // Not traversing the parent if (u == parent) continue; dfs(u, node, tree, colour, answer); // If the child is adding positively to // difference, we include it in the answer // Otherwise, we leave the sub-tree and // include 0 (nothing) in the answer answer[node] += Math.max(answer[u], 0); } } static int maxDiff(Vector<Integer> tree[], int colour[], int N) { int []answer = new int[N + 1]; // DFS for colour difference : 1colour - 2colour dfs(1, 0, tree, colour, answer); // Minimum colour difference is // maximum answer value int high = 0; for (int i = 1; i <= N; i++) { high = Math.max(high, answer[i]); // Clearing the current value // to check for colour2 as well answer[i] = 0; } // Interchanging the colours for (int i = 1; i <= N; i++) { if (colour[i] == -1) colour[i] = 1; else colour[i] = -1; } // DFS for colour difference : 2colour - 1colour dfs(1, 0, tree, colour, answer); // Checking if colour2 makes the // minimum colour difference for (int i = 1; i < N; i++) high = Math.max(high, answer[i]); return high; } // Driver code public static void main(String []args) { // Nodes int N = 5; // Adjacency list representation Vector<Integer> tree[] = new Vector[N + 1]; for(int i = 0; i < N + 1; i++) tree[i] = new Vector<Integer>(); // Edges tree[1].add(2); tree[2].add(1); tree[1].add(3); tree[3].add(1); tree[2].add(4); tree[4].add(2); tree[3].add(5); tree[5].add(3); // Index represent the colour of that node // There is no Node 0, so we start from // index 1 to N int colour[] = { 0, 1, 1, -1, -1, 1 }; // Printing the result System.out.println(maxDiff(tree, colour, N)); } } // This code is contributed by 29AjayKumar |
C#
// C# code to find the sub-tree // with minimum color difference // in a 2-coloured tree using System; using System.Collections.Generic; class GFG { // Tree traversal to compute minimum difference static void dfs(int node, int parent, List<int> []tree, int []colour, int []answer) { // Initial min difference is // the color of node answer[node] = colour[node]; // Traversing its children foreach (int u in tree[node]) { // Not traversing the parent if (u == parent) continue; dfs(u, node, tree, colour, answer); // If the child is Adding positively to // difference, we include it in the answer // Otherwise, we leave the sub-tree and // include 0 (nothing) in the answer answer[node] += Math.Max(answer[u], 0); } } static int maxDiff(List<int> []tree, int []colour, int N) { int []answer = new int[N + 1]; // DFS for colour difference : 1colour - 2colour dfs(1, 0, tree, colour, answer); // Minimum colour difference is // maximum answer value int high = 0; for (int i = 1; i <= N; i++) { high = Math.Max(high, answer[i]); // Clearing the current value // to check for colour2 as well answer[i] = 0; } // Interchanging the colours for (int i = 1; i <= N; i++) { if (colour[i] == -1) colour[i] = 1; else colour[i] = -1; } // DFS for colour difference : 2colour - 1colour dfs(1, 0, tree, colour, answer); // Checking if colour2 makes the // minimum colour difference for (int i = 1; i < N; i++) high = Math.Max(high, answer[i]); return high; } // Driver code public static void Main(String []args) { // Nodes int N = 5; // Adjacency list representation List<int> []tree = new List<int>[N + 1]; for(int i = 0; i < N + 1; i++) tree[i] = new List<int>(); // Edges tree[1].Add(2); tree[2].Add(1); tree[1].Add(3); tree[3].Add(1); tree[2].Add(4); tree[4].Add(2); tree[3].Add(5); tree[5].Add(3); // Index represent the colour of that node // There is no Node 0, so we start from // index 1 to N int []colour = { 0, 1, 1, -1, -1, 1 }; // Printing the result Console.WriteLine(maxDiff(tree, colour, N)); } } // This code is contributed by Rajput-Ji |
Output:
2
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