Find N'th item in a set formed by sum of two arrays Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Try it on GfG Practice Given two sorted arrays, we can get a set of sums(add one element from the first and one from second). Find the N'th element in the elements of the formed set considered in sorted order. Note: Set of sums should have unique elements. Examples: Input: arr1[] = {1, 2} arr2[] = {3, 4} N = 3 Output: 6 We get following elements set of sums. 4(1+3), 5(2+3 or 1+4), 6(2+4) Third element in above set is 6. Input: arr1[] = { 1,3, 4, 8, 10} arr2[] = {20, 22, 30, 40} N = 4 Output: 25 We get following elements set of sums. 21(1+20), 23(1+22 or 20+3), 24(20+4), 25(22+3)... Fourth element is 25. Asked in: Microsoft Interview Recommended PracticeNth item through sumTry It! Approach: Run two loops - one for the first array and second for the second array.Just consider each pair and store their sum in a self-balancing-BST (which is implemented by set and map in C++).We use set in C++ here as we need to only see if elements are present or absent, we don't need key, value pairs.Traverse the set and return the Nth element in the set. Below is the implementation of the above approach: C++ // C++ program to find N'th element in a set formed // by sum of two arrays #include<bits/stdc++.h> using namespace std; //Function to calculate the set of sums int calculateSetOfSum(int arr1[], int size1, int arr2[], int size2, int N) { // Insert each pair sum into set. Note that a set // stores elements in sorted order and unique elements set<int> s; for (int i=0 ; i < size1; i++) for (int j=0; j < size2; j++) s.insert(arr1[i]+arr2[j]); // If set has less than N elements if (s.size() < N) return -1; // Find N'tb item in set and return it set<int>::iterator it = s.begin(); for (int count=1; count<N; count++) it++; return *it; } // Driver code int main() { int arr1[] = {1, 2}; int size1 = sizeof(arr1) / sizeof(arr1[0]); int arr2[] = {3, 4}; int size2 = sizeof(arr2) / sizeof(arr2[0]); int N = 3; int res = calculateSetOfSum(arr1, size1, arr2, size2, N); if (res == -1) cout << "N'th term doesn't exists in set"; else cout << "N'th element in the set of sums is " << res; return 0; } Java // Java program to find N'th element in a set formed // by sum of two arrays import java.util.*; class GFG { // Function to calculate the set of sums static int calculateSetOfSum(int arr1[], int size1, int arr2[], int size2, int N) { // Insert each pair sum into set. Note that a set // stores elements in sorted order and unique elements SortedSet<Integer> s = new TreeSet<Integer>(); for (int i = 0; i < size1; i++) for (int j = 0; j < size2; j++) s.add(arr1[i]+arr2[j]); // If set has less than N elements if (s.size() < N) return -1; // Find N'tb item in set and return it return (int)s.toArray()[ N-1 ]; } // Driver code public static void main(String[] args) { int arr1[] = {1, 2}; int size1 = arr1.length; int arr2[] = {3, 4}; int size2 = arr2.length; int N = 3; int res = calculateSetOfSum(arr1, size1, arr2, size2, N); if (res == -1) System.out.println("N'th term doesn't exists in set"); else System.out.println("N'th element in the set of sums is " +res); } } // This code is contributed by 29AjayKumar Python3 # Python3 program to find N'th # element in a set formed # by sum of two arrays # Function to calculate the set of sums def calculateSetOfSum(arr1, size1,arr2, size2, N): # Insert each pair sum into set. # Note that a set stores elements # in sorted order and unique elements s = set() for i in range(size1): for j in range(size2): s.add(arr1[i]+arr2[j]) # If set has less than N elements if (len(s) < N): return -1 # Find N'tb item in set and return it return list(s)[N - 1] # Driver code arr1 = [ 1, 2 ] size1 = len(arr1) arr2 = [ 3, 4 ] size2 = len(arr2) N = 3 res = calculateSetOfSum(arr1, size1, arr2, size2, N) if (res == -1): print("N'th term doesn't exists in set") else: print(f"N'th element in the set of sums is {res}") # This code is contributed by shinjanpatra C# // C# program to find N'th element in // a set formed by sum of two arrays using System; using System.Linq; using System.Collections.Generic; class GFG { // Function to calculate the set of sums static int calculateSetOfSum(int []arr1, int size1, int []arr2, int size2, int N) { // Insert each pair sum into set. // Note that a set stores elements in // sorted order and unique elements HashSet<int> s = new HashSet<int>(); for (int i = 0; i < size1; i++) for (int j = 0; j < size2; j++) s.Add(arr1[i] + arr2[j]); // If set has less than N elements if (s.Count < N) return -1; // Find N'tb item in set and return it int []last = s.ToArray(); return last[s.Count - 1]; } // Driver code public static void Main(String[] args) { int []arr1 = {1, 2}; int size1 = arr1.Length; int []arr2 = {3, 4}; int size2 = arr2.Length; int N = 3; int res = calculateSetOfSum(arr1, size1, arr2, size2, N); if (res == -1) Console.WriteLine("N'th term doesn't exists in set"); else Console.WriteLine("N'th element in the set" + " of sums is " + res); } } // This code is contributed by Rajput-Ji JavaScript <script> // Javascript program to find N'th // element in a set formed // by sum of two arrays // Function to calculate the set of sums function calculateSetOfSum(arr1, size1, arr2, size2, N) { // Insert each pair sum into set. // Note that a set stores elements // in sorted order and unique elements let s = new Set(); for(let i = 0; i < size1; i++) for(let j = 0; j < size2; j++) s.add(arr1[i]+arr2[j]); // If set has less than N elements if (s.size < N) return -1; // Find N'tb item in set and return it return Array.from(s)[N - 1]; } // Driver code let arr1 = [ 1, 2 ]; let size1 = arr1.length; let arr2 = [ 3, 4 ]; let size2 = arr2.length; let N = 3; let res = calculateSetOfSum(arr1, size1, arr2, size2, N); if (res == -1) document.write("N'th term doesn't " + "exists in set"); else document.write("N'th element in the set " + "of sums is " + res); // This code is contributed by rag2127 </script> OutputN'th element in the set of sums is 6 Time Complexity: O(mn log (mn)) where m is the size of the first array and n is the size of the second array. Comment More infoAdvertise with us Next Article Analysis of Algorithms K kartik Improve Article Tags : DSA Arrays Microsoft STL Self-Balancing-BST +1 More Practice Tags : MicrosoftArraysSTL Similar Reads Basics & PrerequisitesLogic Building ProblemsLogic building is about creating clear, step-by-step methods to solve problems using simple rules and principles. Itâs the heart of coding, enabling programmers to think, reason, and arrive at smart solutions just like we do.Here are some tips for improving your programming logic: Understand the pro 2 min read Analysis of AlgorithmsAnalysis of Algorithms is a fundamental aspect of computer science that involves evaluating performance of algorithms and programs. Efficiency is measured in terms of time and space.BasicsWhy is Analysis Important?Order of GrowthAsymptotic Analysis Worst, Average and Best Cases Asymptotic NotationsB 1 min read Data StructuresArray Data StructureIn this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous 3 min read String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut 2 min read Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The 2 min read Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Hereâs the comparison of Linked List vs Arrays Linked List: 2 min read Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first 2 min read Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems 2 min read Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most 4 min read Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of 3 min read Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this 15+ min read AlgorithmsSearching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input 2 min read Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ 3 min read Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution 14 min read Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get 3 min read Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net 3 min read Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of 3 min read Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit 4 min read AdvancedSegment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree 3 min read Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i 2 min read GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br 2 min read Interview PreparationInterview Corner: All Resources To Crack Any Tech InterviewThis article serves as your one-stop guide to interview preparation, designed to help you succeed across different experience levels and company expectations. Here is what you should expect in a Tech Interview, please remember the following points:Tech Interview Preparation does not have any fixed s 3 min read GfG160 - 160 Days of Problem SolvingAre you preparing for technical interviews and would like to be well-structured to improve your problem-solving skills? Well, we have good news for you! GeeksforGeeks proudly presents GfG160, a 160-day coding challenge starting on 15th November 2024. In this event, we will provide daily coding probl 3 min read Practice ProblemGeeksforGeeks Practice - Leading Online Coding PlatformGeeksforGeeks Practice is an online coding platform designed to help developers and students practice coding online and sharpen their programming skills with the following features. GfG 160: This consists of most popular interview problems organized topic wise and difficulty with with well written e 6 min read Problem of The Day - Develop the Habit of CodingDo you find it difficult to develop a habit of Coding? If yes, then we have a most effective solution for you - all you geeks need to do is solve one programming problem each day without any break, and BOOM, the results will surprise you! Let us tell you how:Suppose you commit to improve yourself an 5 min read Like