Skip to content
Related Articles

Related Articles

Improve Article
Largest Non-Repeating Element
  • Difficulty Level : Medium
  • Last Updated : 22 May, 2021

Given an array arr[] of size N, the task is to find the largest non-repeating element present in the given array. If no such element exists, then print -1.

Examples:

Input: arr[] = { 3, 1, 8, 8, 4 } 
Output:
Explanation: 
Non-repeating elements of the given array are { 1, 3, 4 } 
Therefore, the largest non-repeating element of the given array is 4.

Input: arr[] = { 3, 1, 8, 8, 3 } 
Output:
Explanation: 
Non-repeating elements of the given array are { 1 } 
Therefore, the largest non-repeating element of the given array is 1.

Approach: The problem can be solved using Hashing. Follow the steps below to solve the problem:



Below is implementation of the above approach:

C++




// C++ program to implement
// the above approach
 
#include <bits/stdc++.h>
using namespace std;
 
// Function to find the largest unique
// element of the array
void LarUnEl(int arr[], int N)
{
    // Store frequency of each
    // distinct array element
    unordered_map<int, int> mp;
 
    // Traverse the array
    for (int i = 0; i < N; i++) {
 
        // Update frequency of arr[i]
        mp[arr[i]]++;
    }
 
    // Stores largest non-repeating
    // element present in the array
    int LNRElem = INT_MIN;
 
    // Stores index of the largest
    // unique element of the array
    int ind = -1;
 
    // Traverse the array
    for (int i = 0; i < N; i++) {
 
        // If frequency of arr[i] is equal
        // to 1 and arr[i] exceeds LNRElem
        if (mp[arr[i]] == 1
            && arr[i] > LNRElem) {
 
            // Update ind
            ind = i;
 
            // Update LNRElem
            LNRElem = arr[i];
        }
    }
 
    // If no array element is found
    // with frequency equal to 1
    if (ind == -1) {
        cout << ind;
        return;
    }
 
    // Print the largest
    // non-repeating element
    cout << arr[ind];
}
 
// Driver Code
int main()
{
    int arr[] = { 3, 1, 8, 8, 4 };
    int N = sizeof(arr) / sizeof(arr[0]);
    LarUnEl(arr, N);
}

Java




// Java program to implement
// the above approach
 
import java.io.*;
import java.util.*;
 
class GFG {
 
    // Function to find the largest unique
    // element of the array
    static void LarUnEl(int arr[], int N)
    {
 
        // Store frequency of each distinct
        // element of the array
        HashMap<Integer, Integer> map
            = new HashMap<Integer, Integer>();
 
        // Traverse the array
        for (int i = 0; i < N; i++) {
 
            // Update frequency of arr[i]
            map.put(arr[i],
                    map.getOrDefault(arr[i], 0) + 1);
        }
 
        // Stores largest non-repeating
        // element present in the array
        int LNRElem = Integer.MIN_VALUE;
 
        // Stores index of the largest
        // non-repeating array element
        int ind = -1;
 
        // Traverse the array
        for (int i = 0; i < N; i++) {
 
            // If frequency of arr[i] is equal
            // to 1 and arr[i] exceeds LNRElem
            if (map.get(arr[i]) == 1
                && arr[i] > LNRElem) {
 
                // Update ind
                ind = i;
 
                // Update LNRElem
                LNRElem = arr[i];
            }
        }
 
        // If no array element is found
        // with frequency equal to 1
        if (ind == -1) {
            System.out.println(ind);
            return;
        }
 
        // Print largest non-repeating element
        System.out.println(arr[ind]);
    }
 
    // Driver Code
    public static void main(String[] args)
    {
        int[] arr = { 3, 1, 8, 8, 4 };
        int N = arr.length;
        LarUnEl(arr, N);
    }
}

Python3




# Python program to implement
# the above approach
import sys
 
# Function to find the largest unique
# element of the array
def LarUnEl(arr, N):
   
    # Store frequency of each distinct
    # element of the array
    map = dict.fromkeys(arr, 0);
 
    # Traverse the array
    for i in range(N):
       
        # Update frequency of arr[i]
        map[arr[i]] += 1;
         
    # Stores largest non-repeating
    # element present in the array
    LNRElem = -sys.maxsize;
 
    # Stores index of the largest
    # non-repeating array element
    ind = -1;
 
    # Traverse the array
    for i in range(N):
 
        # If frequency of arr[i] is equal
        # to 1 and arr[i] exceeds LNRElem
        if (map.get(arr[i]) == 1 and arr[i] > LNRElem):
             
            # Update ind
            ind = i;
 
            # Update LNRElem
            LNRElem = arr[i];
 
    # If no array element is found
    # with frequency equal to 1
    if (ind == -1):
        print(ind);
        return;
 
    # Prlargest non-repeating element
    print(arr[ind]);
 
# Driver Code
if __name__ == '__main__':
    arr = [3, 1, 8, 8, 4];
    N = len(arr);
    LarUnEl(arr, N);
 
    # This code is contributed by shikhasingrajput

C#




// C# program to implement
// the above approach 
using System;
using System.Collections.Generic;
 
class GFG {
      
    // Function to find the largest unique
    // element of the array
    static void LarUnEl(int[] arr, int N)
    {
  
        // Store frequency of each distinct
        // element of the array
        Dictionary<int,
               int> map = new Dictionary<int,
                                        int>();
  
        // Traverse the array
        for (int i = 0; i < N; i++) {
  
            // Update frequency of arr[i]
            if (map.ContainsKey(arr[i]) == true)
                map[arr[i]] += 1;
            else
                map[arr[i]] = 1;
            }
  
        // Stores largest non-repeating
        // element present in the array
        int LNRElem = Int32.MinValue;
  
        // Stores index of the largest
        // non-repeating array element
        int ind = -1;
  
        // Traverse the array
        for (int i = 0; i < N; i++) {
  
            // If frequency of arr[i] is equal
            // to 1 and arr[i] exceeds LNRElem
            if (map[arr[i]] == 1
                && arr[i] > LNRElem) {
  
                // Update ind
                ind = i;
  
                // Update LNRElem
                LNRElem = arr[i];
            }
        }
  
        // If no array element is found
        // with frequency equal to 1
        if (ind == -1) {
            Console.WriteLine(ind);
            return;
        }
  
        // Print largest non-repeating element
        Console.WriteLine(arr[ind]);
    }
      
    // Drivers Code
    public static void Main ()
    {
        int[] arr = { 3, 1, 8, 8, 4 };
        int N = arr.Length;
        LarUnEl(arr, N);
    }
  
}
 
// This code is contributed by susmitakundugoaldanga

Javascript




<script>
 
 
// Javascript program to implement
// the above approach
 
// Function to find the largest unique
// element of the array
function LarUnEl(arr, N)
{
    // Store frequency of each
    // distinct array element
    var mp = new Map();
 
    // Traverse the array
    for (var i = 0; i < N; i++) {
 
        // Update frequency of arr[i]
        if(mp.has(arr[i]))
            mp.set(arr[i], mp.get(arr[i])+1)
        else
            mp.set(arr[i], 1);
    }
 
    // Stores largest non-repeating
    // element present in the array
    var LNRElem = -1000000000;
 
    // Stores index of the largest
    // unique element of the array
    var ind = -1;
 
    // Traverse the array
    for (var i = 0; i < N; i++) {
 
        // If frequency of arr[i] is equal
        // to 1 and arr[i] exceeds LNRElem
        if (mp.get(arr[i]) == 1
            && arr[i] > LNRElem) {
 
            // Update ind
            ind = i;
 
            // Update LNRElem
            LNRElem = arr[i];
        }
    }
 
    // If no array element is found
    // with frequency equal to 1
    if (ind == -1) {
        cout << ind;
        return;
    }
 
    // Print the largest
    // non-repeating element
    document.write( arr[ind]);
}
 
// Driver Code
var arr = [3, 1, 8, 8, 4 ];
var N = arr.length;
LarUnEl(arr, N);
 
 
 
</script>
Output: 
4

 

Time complexity: O(N)
Auxiliary Space: O(N)

Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready.  To complete your preparation from learning a language to DS Algo and many more,  please refer Complete Interview Preparation Course.

In case you wish to attend live classes with industry experts, please refer Geeks Classes Live 




My Personal Notes arrow_drop_up
Recommended Articles
Page :