Find any one of the multiple repeating elements in read only array
Last Updated :
24 Mar, 2023
Given a read-only array of size ( n+1 ), find one of the multiple repeating elements in the array where the array contains integers only between 1 and n.
A read-only array means that the contents of the array can’t be modified.
Examples:
Input : n = 5
arr[] = {1, 1, 2, 3, 5, 4}
Output : One of the numbers repeated in the array is: 1
Input : n = 10
arr[] = {10, 1, 2, 3, 5, 4, 9, 8, 5, 6, 4}
Output : One of the numbers repeated in the array is: 4 OR 5
Method 1: Since the size of the array is n+1 and elements range from 1 to n then it is confirmed that there will be at least one repeating element. A simple solution is to create a count array and store counts of all elements. As soon as we encounter an element with a count of more than 1, we return it.
Below is the implementation of the above approach:
C++
// C++ program to find one of the repeating
// elements in a read only array
#include <bits/stdc++.h>
using namespace std;
// Function to find one of the repeating
// elements
int findRepeatingNumber(const int arr[], int n)
{
for (int i = 0; i < n; i++) {
int count = 0;
for (int j = 0; j < n; j++) {
if (arr[i] == arr[j])
count++;
}
if (count > 1)
return arr[i];
}
// If no repeating element exists
return -1;
}
// Driver Code
int main()
{
// Read only array
const int arr[] = { 1, 1, 2, 3, 5, 4 };
int n = 5;
cout << "One of the numbers repeated in"
" the array is: "
<< findRepeatingNumber(arr, n) << endl;
}
Java
public class GFG {
// Java program to find one of the repeating
// elements in a read only array
// Function to find one of the repeating
// elements
public static int findRepeatingNumber(int[] arr, int n)
{
for (int i = 0; i < n; i++) {
int count = 0;
for (int j = 0; j < n; j++) {
if (arr[i] == arr[j]) {
count++;
}
}
if (count > 1) {
return arr[i];
}
}
// If no repeating element exists
return -1;
}
// Driver Code
public static void main(String[] args)
{
// Read only array
final int[] arr = { 1, 1, 2, 3, 5, 4 };
int n = 5;
System.out.print("One of the numbers repeated in"
+ " the array is: ");
System.out.print(findRepeatingNumber(arr, n));
System.out.print("\n");
}
}
// This code is contributed by Aarti_Rathi
Python3
# Python 3program to find one of the repeating
# elements in a read only array
from math import sqrt
# Function to find one of the repeating
# elements
def findRepeatingNumber(arr, n):
for i in arr:
count = 0;
for j in arr:
if i == j:
count=count+1
if(count>1):
return i
# return -1 if no repeating element exists
return -1
# Driver Code
if __name__ == '__main__':
# read only array, not to be modified
arr = [1, 1, 2, 3, 5, 4]
# array of size 6(n + 1) having
# elements between 1 and 5
n = 5
print("One of the numbers repeated in the array is:",
findRepeatingNumber(arr, n))
# This code is contributed by Arpit Jain
C#
// C# program to find one of the repeating
// elements in a read only array
using System;
public class GFG {
// Function to find one of the repeating
// elements
public static int findRepeatingNumber(int[] arr, int n)
{
for (int i = 0; i < n; i++) {
int count = 0;
for (int j = 0; j < n; j++) {
if (arr[i] == arr[j]) {
count++;
}
}
if (count > 1) {
return arr[i];
}
}
// If no repeating element exists
return -1;
}
// Driver Code
public static void Main(String[] args)
{
// Read only array
int[] arr = { 1, 1, 2, 3, 5, 4 };
int n = 5;
Console.Write("One of the numbers repeated in"
+ " the array is: ");
Console.Write(findRepeatingNumber(arr, n));
Console.Write("\n");
}
}
// This code is contributed by Abhijeet Kumar(abhijeet19403)
JavaScript
<script>
// Javascript program to find one of the
// repeating elements in a read only array.
// Function to find one of the repeating
// elements
function findRepeatingNumber(arr, n){
for (let i = 0; i < n; i++) {
let count = 0;
for (let j = 0; j < n; j++) {
if (arr[i] == arr[j]) {
count++;
}
}
if (count > 1) {
return arr[i];
}
}
// If no repeating element exists
return -1;
}
const arr = [ 1, 1, 2, 3, 5, 4 ];
let n = 5;
document.write("One of the numbers repeated in the array is: " + findRepeatingNumber(arr, n));
// This code is contributed by lokeshmvs21.
</script>
OutputOne of the numbers repeated in the array is: 1
Time Complexity: O(n2)
Auxiliary Space: O(1)
A space-optimized solution is to break the given range (from 1 to n) into blocks of size equal to sqrt(n). We maintain the count of elements belonging to each block for every block. Now as the size of an array is (n+1) and blocks are of size sqrt(n), then there will be one such block whose size will be more than sqrt(n). For the block whose count is greater than sqrt(n), we can use hashing for the elements of this block to find which element appears more than once.
Explanation:
The method described above works because of the following two reasons:
- There would always be a block that has a count greater than sqrt(n) because of one extra element. Even when one extra element has been added it will occupy a position in one of the blocks only, making that block to be selected.
- The selected block definitely has a repeating element. Consider that ith block is selected. The size of the block is greater than sqrt(n) (Hence, it is selected) Maximum distinct elements in this block = sqrt(n). Thus, size can be greater than sqrt(n) only if there is a repeating element in range ( i*sqrt(n), (i+1)*sqrt(n) ].
Note: The last block formed may or may not have a range equal to sqrt(n). Thus, checking if this block has a repeating element will be different than other blocks. However, this difficulty can be overcome from the implementation point of view by initializing the selected block with the last block. This is safe because at least one block has to get selected.
Below is the step-by-step algorithm to solve this problem:
- Divide the array into blocks of size sqrt(n).
- Make a count array that stores the count of elements for each block.
- Pick up the block which has a count of more than sqrt(n), setting the last block
as default. - For the elements belonging to the selected block, use the method of hashing(explained in the next step) to find the repeating element in that block.
- We can create a hash array of key-value pairs, where the key is the element in the block and the value is the count of a number of times the given key is appearing. This can be easily implemented using unordered_map in C++ STL.
Below is the implementation of the above idea:
C++
// C++ program to find one of the repeating
// elements in a read only array
#include <bits/stdc++.h>
using namespace std;
// Function to find one of the repeating
// elements
int findRepeatingNumber(const int arr[], int n)
{
// Size of blocks except the
// last block is sq
int sq = sqrt(n);
// Number of blocks to incorporate 1 to
// n values blocks are numbered from 0
// to range-1 (both included)
int range = (n / sq) + 1;
// Count array maintains the count for
// all blocks
int count[range] = {0};
// Traversing the read only array and
// updating count
for (int i = 0; i <= n; i++)
{
// arr[i] belongs to block number
// (arr[i]-1)/sq i is considered
// to start from 0
count[(arr[i] - 1) / sq]++;
}
// The selected_block is set to last
// block by default. Rest of the blocks
// are checked
int selected_block = range - 1;
for (int i = 0; i < range - 1; i++)
{
if (count[i] > sq)
{
selected_block = i;
break;
}
}
// after finding block with size > sq
// method of hashing is used to find
// the element repeating in this block
unordered_map<int, int> m;
for (int i = 0; i <= n; i++)
{
// checks if the element belongs to the
// selected_block
if ( ((selected_block * sq) < arr[i]) &&
(arr[i] <= ((selected_block + 1) * sq)))
{
m[arr[i]]++;
// repeating element found
if (m[arr[i]] > 1)
return arr[i];
}
}
// return -1 if no repeating element exists
return -1;
}
// Driver Program
int main()
{
// read only array, not to be modified
const int arr[] = { 1, 1, 2, 3, 5, 4 };
// array of size 6(n + 1) having
// elements between 1 and 5
int n = 5;
cout << "One of the numbers repeated in"
" the array is: "
<< findRepeatingNumber(arr, n) << endl;
}
Java
// Java program to find one of the repeating
// elements in a read only array
import java.io.*;
import java.util.*;
class GFG
{
// Function to find one of the repeating
// elements
static int findRepeatingNumber(int[] arr, int n)
{
// Size of blocks except the
// last block is sq
int sq = (int) Math.sqrt(n);
// Number of blocks to incorporate 1 to
// n values blocks are numbered from 0
// to range-1 (both included)
int range = (n / sq) + 1;
// Count array maintains the count for
// all blocks
int[] count = new int[range];
// Traversing the read only array and
// updating count
for (int i = 0; i <= n; i++)
{
// arr[i] belongs to block number
// (arr[i]-1)/sq i is considered
// to start from 0
count[(arr[i] - 1) / sq]++;
}
// The selected_block is set to last
// block by default. Rest of the blocks
// are checked
int selected_block = range - 1;
for (int i = 0; i < range - 1; i++)
{
if (count[i] > sq)
{
selected_block = i;
break;
}
}
// after finding block with size > sq
// method of hashing is used to find
// the element repeating in this block
HashMap<Integer, Integer> m = new HashMap<>();
for (int i = 0; i <= n; i++)
{
// checks if the element belongs to the
// selected_block
if ( ((selected_block * sq) < arr[i]) &&
(arr[i] <= ((selected_block + 1) * sq)))
{
m.put(arr[i], 1);
// repeating element found
if (m.get(arr[i]) == 1)
return arr[i];
}
}
// return -1 if no repeating element exists
return -1;
}
// Driver code
public static void main(String args[])
{
// read only array, not to be modified
int[] arr = { 1, 1, 2, 3, 5, 4 };
// array of size 6(n + 1) having
// elements between 1 and 5
int n = 5;
System.out.println("One of the numbers repeated in the array is: " +
findRepeatingNumber(arr, n));
}
}
// This code is contributed by rachana soma
Python3
# Python 3program to find one of the repeating
# elements in a read only array
from math import sqrt
# Function to find one of the repeating
# elements
def findRepeatingNumber(arr, n):
# Size of blocks except the
# last block is sq
sq = sqrt(n)
# Number of blocks to incorporate 1 to
# n values blocks are numbered from 0
# to range-1 (both included)
range__= int((n / sq) + 1)
# Count array maintains the count for
# all blocks
count = [0 for i in range(range__)]
# Traversing the read only array and
# updating count
for i in range(0, n + 1, 1):
# arr[i] belongs to block number
# (arr[i]-1)/sq i is considered
# to start from 0
count[int((arr[i] - 1) / sq)] += 1
# The selected_block is set to last
# block by default. Rest of the blocks
# are checked
selected_block = range__ - 1
for i in range(0, range__ - 1, 1):
if (count[i] > sq):
selected_block = i
break
# after finding block with size > sq
# method of hashing is used to find
# the element repeating in this block
m = {i:0 for i in range(n)}
for i in range(0, n + 1, 1):
# checks if the element belongs
# to the selected_block
if (((selected_block * sq) < arr[i]) and
(arr[i] <= ((selected_block + 1) * sq))):
m[arr[i]] += 1
# repeating element found
if (m[arr[i]] > 1):
return arr[i]
# return -1 if no repeating element exists
return -1
# Driver Code
if __name__ == '__main__':
# read only array, not to be modified
arr = [1, 1, 2, 3, 5, 4]
# array of size 6(n + 1) having
# elements between 1 and 5
n = 5
print("One of the numbers repeated in the array is:",
findRepeatingNumber(arr, n))
# This code is contributed by
# Sahil_shelangia
C#
// C# program to find one of the repeating
// elements in a read only array
using System;
using System.Collections.Generic;
class GFG
{
// Function to find one of the repeating
// elements
static int findRepeatingNumber(int[] arr, int n)
{
// Size of blocks except the
// last block is sq
int sq = (int) Math.Sqrt(n);
// Number of blocks to incorporate 1 to
// n values blocks are numbered from 0
// to range-1 (both included)
int range = (n / sq) + 1;
// Count array maintains the count for
// all blocks
int[] count = new int[range];
// Traversing the read only array and
// updating count
for (int i = 0; i <= n; i++)
{
// arr[i] belongs to block number
// (arr[i]-1)/sq i is considered
// to start from 0
count[(arr[i] - 1) / sq]++;
}
// The selected_block is set to last
// block by default. Rest of the blocks
// are checked
int selected_block = range - 1;
for (int i = 0; i < range - 1; i++)
{
if (count[i] > sq)
{
selected_block = i;
break;
}
}
// after finding block with size > sq
// method of hashing is used to find
// the element repeating in this block
Dictionary<int,int> m = new Dictionary<int,int>();
for (int i = 0; i <= n; i++)
{
// checks if the element belongs to the
// selected_block
if ( ((selected_block * sq) < arr[i]) &&
(arr[i] <= ((selected_block + 1) * sq)))
{
m.Add(arr[i], 1);
// repeating element found
if (m[arr[i]] == 1)
return arr[i];
}
}
// return -1 if no repeating element exists
return -1;
}
// Driver code
public static void Main(String []args)
{
// read only array, not to be modified
int[] arr = { 1, 1, 2, 3, 5, 4 };
// array of size 6(n + 1) having
// elements between 1 and 5
int n = 5;
Console.WriteLine("One of the numbers repeated in the array is: " +
findRepeatingNumber(arr, n));
}
}
// This code contributed by Rajput-Ji
JavaScript
<script>
// JavaScript program to find one of the repeating
// elements in a read only array
// Function to find one of the repeating
// elements
function findRepeatingNumber(arr, n) {
// Size of blocks except the
// last block is sq
let sq = Math.sqrt(n);
// Number of blocks to incorporate 1 to
// n values blocks are numbered from 0
// to range-1 (both included)
let range = Math.floor(n / sq) + 1;
// Count array maintains the count for
// all blocks
let count = new Array(range).fill(0);
// Traversing the read only array and
// updating count
for (let i = 0; i <= n; i++) {
// arr[i] belongs to block number
// (arr[i]-1)/sq i is considered
// to start from 0
count[(Math.floor((arr[i] - 1) / sq))]++;
}
// The selected_block is set to last
// block by default. Rest of the blocks
// are checked
let selected_block = range - 1;
for (let i = 0; i < range - 1; i++) {
if (count[i] > sq) {
selected_block = i;
break;
}
}
// after finding block with size > sq
// method of hashing is used to find
// the element repeating in this block
let m = new Map();
for (let i = 0; i <= n; i++) {
// checks if the element belongs to the
// selected_block
if (((selected_block * sq) < arr[i]) &&
(arr[i] <= ((selected_block + 1) * sq))) {
m[arr[i]]++;
if (m.has(arr[i])) {
m.set(arr[i], m.get(arr[i]) + 1)
} else {
m.set(arr[i], 1)
}
// repeating element found
if (m.get(arr[i]) > 1)
return arr[i];
}
}
// return -1 if no repeating element exists
return -1;
}
// Driver Program
// read only array, not to be modified
const arr = [1, 1, 2, 3, 5, 4];
// array of size 6(n + 1) having
// elements between 1 and 5
let n = 5;
document.write("One of the numbers repeated in"
+ " the array is: "
+ findRepeatingNumber(arr, n) + "<br>");
</script>
OutputOne of the numbers repeated in the array is: 1
Time Complexity: O(N)
Auxiliary Space: sqrt(N)
Similar Reads
Basics & Prerequisites
Data Structures
Getting Started with Array Data StructureArray is a collection of items of the same variable type that are stored at contiguous memory locations. It is one of the most popular and simple data structures used in programming. Basic terminologies of ArrayArray Index: In an array, elements are identified by their indexes. Array index starts fr
14 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
Algorithms
Searching 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
Advanced
Segment 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 Preparation
Practice Problem