Given an array arr[]. Determine whether it is possible to split the array into two sets such that the sum of elements in both the sets is equal. If it is possible, then print both the sets. If it is not possible then output -1.
Examples :
Input : arr = {5, 5, 1, 11}
Output : Set 1 = {5, 5, 1},
Set 2 = {11}
Sum of both the sets is 11 and equal.
Input : arr = {1, 5, 3}
Output : -1
No partitioning results in equal sum sets.
We have already discussed a solution in Partition Problem to find if array can be partitioned or not. In this post, we print two sets that are also printed. We post pass two vectors set1 and set2 and two sum variables sum1 and sum2. Traverse the array recursively.
At every array position there are two choices: either add the current element to set 1 or to set 2. Recursively call for both the conditions and update the vectors set1 and set2 accordingly. If the current element is added to set 1 then add the current element to sum1 and insert it in vector set 1. Repeat the same if the current element is included in set 2. At the end of array traversal compare both the sums. If both the sums are equal then print both the vectors otherwise backtrack to check other possibilities.
Implementation:
C++
// CPP program to print equal sum two subsets of// an array if it can be partitioned into subsets.#include <bits/stdc++.h>using namespace std;/// Function to print the equal sum sets of the array.void printSets(vector<int> set1, vector<int> set2){ int i; /// Print set 1. for (i = 0; i < set1.size(); i++) { cout << set1[i] << " "; } cout << "\n"; /// Print set 2. for (i = 0; i < set2.size(); i++) { cout << set2[i] << " "; }}/// Utility function to find the sets of the array which/// have equal sum.bool findSets(int arr[], int n, vector<int>& set1, vector<int>& set2, int sum1, int sum2, int pos){ /// If entire array is traversed, compare both the sums. if (pos == n) { /// If sums are equal print both sets and return /// true to show sets are found. if (sum1 == sum2) { printSets(set1, set2); return true; } /// If sums are not equal then return sets are not /// found. else return false; } /// Add current element to set 1. set1.push_back(arr[pos]); /// Recursive call after adding current element to /// set 1. bool res = findSets(arr, n, set1, set2, sum1 + arr[pos], sum2, pos + 1); /// If this inclusion results in equal sum sets /// partition then return true to show desired sets are /// found. if (res) return res; /// If not then backtrack by removing current element /// from set1 and include it in set 2. set1.pop_back(); set2.push_back(arr[pos]); /// Recursive call after including current element to /// set 2. res = findSets(arr, n, set1, set2, sum1, sum2 + arr[pos], pos + 1); if (res == false) set2.pop_back(); return res;}/// Return true if array arr can be partitioned/// into two equal sum sets or not.bool isPartitionPoss(int arr[], int n){ /// Calculate sum of elements in array. int sum = 0; for (int i = 0; i < n; i++) sum += arr[i]; /// If sum is odd then array cannot be /// partitioned. if (sum % 2 != 0) return false; /// Declare vectors to store both the sets. vector<int> set1, set2; /// Find both the sets. return findSets(arr, n, set1, set2, 0, 0, 0);}// Driver codeint main(){ int arr[] = { 5, 5, 1, 11 }; int n = sizeof(arr) / sizeof(arr[0]); if (!isPartitionPoss(arr, n)) { cout << "-1"; } return 0;} |
Java
// Java program to print equal sum two subsets// of an array if it can be partitioned into// subsets.import java.io.*;import java.util.*;public class GFG { // Declare Lists to store both // the sets. static List<Integer> set1 = new ArrayList<Integer>(); static List<Integer> set2 = new ArrayList<Integer>(); /// Function to print the equal sum sets // of the array. static void printSets() { int i; /// Print set 1. for (i = 0; i < set1.size(); i++) { System.out.print(set1.get(i) + " "); } System.out.println(); /// Print set 2. for (i = 0; i < set2.size(); i++) { System.out.print(set2.get(i) + " "); } } // Utility function to find the sets // of the array which have equal sum. static boolean findSets(Integer[] arr, int n, int sum1, int sum2, int pos) { // If entire array is traversed, // compare both the sums. if (pos == n) { // If sums are equal print // both sets and return true // to show sets are found. if (sum1 == sum2) { printSets(); return true; } // If sums are not equal // then return sets are not // found. else return false; } // Add current element to set 1. set1.add(arr[pos]); // Recursive call after adding // current element to set 1. boolean res = findSets(arr, n, sum1 + arr[pos], sum2, pos + 1); // If this inclusion results in // equal sum sets partition then // return true to show desired // sets are found. if (res == true) return res; // If not then backtrack by removing // current element from set1 and // include it in set 2. set1.remove(set1.size() - 1); set2.add(arr[pos]); // Recursive call after including // current element to set 2. res = findSets(arr, n, sum1, sum2 + arr[pos], pos + 1); if (res == false) set2.remove(set2.size() - 1); return res; } // Return true if array arr can be // partitioned into two equal sum // sets or not. static boolean isPartitionPoss(Integer[] arr, int n) { // Calculate sum of elements in // array. int sum = 0; for (int i = 0; i < n; i++) sum += arr[i]; // If sum is odd then array cannot // be partitioned. if (sum % 2 != 0) return false; /// Find both the sets. return findSets(arr, n, 0, 0, 0); } // Driver code public static void main(String args[]) { Integer[] arr = { 5, 5, 1, 11 }; int n = arr.length; if (isPartitionPoss(arr, n) == false) { System.out.print("-1"); } }}// This code is contributed by Manish Shaw// (manishshaw1) |
Python3
# Python3 program to print equal sum two subsets of# an array if it can be partitioned into subsets.# Function to print the equal sum sets of the array.def printSets(set1, set2) : # Print set 1. for i in range(0, len(set1)) : print ("{} ".format(set1[i]), end =""); print ("") # Print set 2. for i in range(0, len(set2)) : print ("{} ".format(set2[i]), end =""); print ("")# Utility function to find the sets of the # array which have equal sum.def findSets(arr, n, set1, set2, sum1, sum2, pos) : # If entire array is traversed, compare both # the sums. if (pos == n) : # If sums are equal print both sets and # return true to show sets are found. if (sum1 == sum2) : printSets(set1, set2) return True # If sums are not equal then return # sets are not found. else : return False # Add current element to set 1. set1.append(arr[pos]) # Recursive call after adding current # element to set 1. res = findSets(arr, n, set1, set2, sum1 + arr[pos], sum2, pos + 1) # If this inclusion results in an equal sum # sets partition then return true to show # desired sets are found. if (res) : return res # If not then backtrack by removing current # element from set1 and include it in set 2. set1.pop() set2.append(arr[pos]) # Recursive call after including current # element to set 2 and removing the element # from set 2 if it returns False res= findSets(arr, n, set1, set2, sum1, sum2 + arr[pos], pos + 1) if not res: set2.pop() return res# Return true if array arr can be partitioned# into two equal sum sets or not.def isPartitionPoss(arr, n) : # Calculate sum of elements in array. sum = 0 for i in range(0, n): sum += arr[i] # If sum is odd then array cannot be # partitioned. if (sum % 2 != 0) : return False # Declare vectors to store both the sets. set1 = [] set2 = [] # Find both the sets. return findSets(arr, n, set1, set2, 0, 0, 0)# Driver codearr = [5, 5, 1, 11]n = len(arr)if (isPartitionPoss(arr, n) == False) : print ("-1") # This code is contributed by Manish Shaw# (manishshaw1) |
C#
// C# program to print equal sum two subsets// of an array if it can be partitioned into// subsets.using System;using System.Collections.Generic;using System.Linq;using System.Collections;class GFG { /// Function to print the equal sum sets // of the array. static void printSets(List<int> set1, List<int> set2) { int i; /// Print set 1. for (i = 0; i < set1.Count; i++) { Console.Write(set1[i] + " "); } Console.WriteLine(); /// Print set 2. for (i = 0; i < set2.Count; i++) { Console.Write(set2[i] + " "); } } // Utility function to find the sets // of the array which have equal sum. static bool findSets(int[] arr, int n, ref List<int> set1, ref List<int> set2, int sum1, int sum2, int pos) { // If entire array is traversed, // compare both the sums. if (pos == n) { // If sums are equal print // both sets and return true // to show sets are found. if (sum1 == sum2) { printSets(set1, set2); return true; } // If sums are not equal // then return sets are not // found. else return false; } // Add current element to set 1. set1.Add(arr[pos]); // Recursive call after adding // current element to set 1. bool res = findSets(arr, n, ref set1, ref set2, sum1 + arr[pos], sum2, pos + 1); // If this inclusion results in // equal sum sets partition then // return true to show desired // sets are found. if (res == true) return res; // If not then backtrack by removing // current element from set1 and // include it in set 2. set1.RemoveAt(set1.Count - 1); set2.Add(arr[pos]); // Recursive call after including // current element to set 2. res = findSets(arr, n, ref set1, ref set2, sum1, sum2 + arr[pos], pos + 1); if (res == false) set2.RemoveAt(set2.Count - 1); return res; } // Return true if array arr can be // partitioned into two equal sum // sets or not. static bool isPartitionPoss(int[] arr, int n) { // Calculate sum of elements in // array. int sum = 0; for (int i = 0; i < n; i++) sum += arr[i]; // If sum is odd then array cannot // be partitioned. if (sum % 2 != 0) return false; // Declare Lists to store both // the sets. List<int> set1 = new List<int>(); List<int> set2 = new List<int>(); /// Find both the sets. return findSets(arr, n, ref set1, ref set2, 0, 0, 0); } // Driver code public static void Main() { int[] arr = { 5, 5, 1, 11 }; int n = arr.Length; if (isPartitionPoss(arr, n) == false) { Console.Write("-1"); } }}// This code is contributed by Manish Shaw// (manishshaw1) |
PHP
<?php// PHP program to print equal sum // two subsets of an array if it // can be partitioned into subsets.// Function to print the equal // sum sets of the array.function printSets($set1, $set2){ $i = 0; // Print set 1. for ($i = 0; $i < count($set1); $i++) { echo ($set1[$i]." "); } echo ("\n"); // Print set 2. for ($i = 0; $i < count($set2); $i++) { echo ($set2[$i]." "); }}// Utility function to find the // sets of the array which have// equal sum.function findSets($arr, $n, &$set1, &$set2, $sum1, $sum2, $pos){ // If entire array is traversed, // compare both the sums. if ($pos == $n) { // If sums are equal print // both sets and return // true to show sets are found. if ($sum1 == $sum2) { printSets($set1, $set2); return true; } // If sums are not equal then // return sets are not found. else return false; } // Add current element to set 1. array_push($set1, $arr[$pos]); // Recursive call after adding // current element to set 1. $res = findSets($arr, $n, $set1, $set2, $sum1 + $arr[$pos], $sum2, $pos + 1); // If this inclusion results in // equal sum sets partition then // return true to show desired // sets are found. if ($res) return $res; // If not then backtrack by // removing current element // from set1 and include it // in set 2. array_pop($set1); array_push($set2, $arr[$pos]); // Recursive call after including // current element to set 2. $res = findSets($arr, $n, $set1, $set2, $sum1, $sum2 + $arr[$pos], $pos + 1); if ($res == false){ array_pop($set2); } return $res;}// Return true if array arr // can be partitioned into// two equal sum sets or not.function isPartitionPoss($arr, $n){ // Calculate sum of // elements in array. $sum = 0; for ($i = 0; $i < $n; $i++) $sum += $arr[$i]; // If sum is odd then array // cannot be partitioned. if ($sum % 2 != 0) return false; // Declare vectors to // store both the sets. $set1 = array(); $set2 = array(); // Find both the sets. return findSets($arr, $n, $set1, $set2, 0, 0, 0);}// Driver code$arr= array( 5, 5, 1, 11 );$n = count($arr);if (isPartitionPoss($arr, $n) == false) echo ("-1");// This code is contributed by // Manish Shaw (manishshaw1)?> |
Javascript
<script>// Javascript program to print equal sum two// subsets of an array if it can be partitioned // into subsets.// Function to print the equal sum// sets of the array.function printSets(set1, set2){ var i; // Print set 1. for(i = 0; i < set1.length; i++) { document.write( set1[i] + " "); } document.write("<br>"); // Print set 2. for(i = 0; i < set2.length; i++) { document.write( set2[i] + " "); }}// Utility function to find the sets of the // array which have equal sum.function findSets(arr, n, set1, set2, sum1, sum2, pos){ // If entire array is traversed, // compare both the sums. if (pos == n) { // If sums are equal print both sets // and return true to show sets are found. if (sum1 == sum2) { printSets(set1, set2); return true; } // If sums are not equal then // return sets are not found. else return false; } // Add current element to set 1. set1.push(arr[pos]); // Recursive call after adding current // element to set 1. var res = findSets(arr, n, set1, set2, sum1 + arr[pos], sum2, pos + 1); // If this inclusion results in equal sum // sets partition then return true to show // desired sets are found. if (res) return res; // If not then backtrack by removing // current element from set1 and // include it in set 2. set1.pop(); set2.push(arr[pos]); // Recursive call after including // current element to set 2. res = findSets(arr, n, set1, set2, sum1, sum2 + arr[pos], pos + 1); if (res == false) set2.pop(); return res;}// Return true if array arr can be partitioned// into two equal sum sets or not.function isPartitionPoss(arr, n){ // Calculate sum of elements in array. var sum = 0; for(var i = 0; i < n; i++) sum += arr[i]; // If sum is odd then array cannot be // partitioned. if (sum % 2 != 0) return false; // Declare vectors to store both the sets. var set1 = []; var set2 = []; // Find both the sets. return findSets(arr, n, set1, set2, 0, 0, 0);}// Driver codevar arr = [ 5, 5, 1, 11 ];var n = arr.length;if (!isPartitionPoss(arr, n)) { document.write( "-1");}// This code is contributed by SoumikMondal</script> |
Output
5 5 1 11
Complexity Analysis:
- Time Complexity: Exponential O(2^n)
- Auxiliary Space: O(n) (Without considering size of function call stack)
Print equal sum sets of array (Partition Problem) | Set 2
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