Program to find largest element in an array using Dynamic Memory Allocation Last Updated : 21 Nov, 2022 Comments Improve Suggest changes Like Article Like Report Given an array arr[] consisting of N integers, the task is to find the largest element in the given array using Dynamic Memory Allocation. Examples: Input: arr[] = {4, 5, 6, 7} Output: 7Explanation:The largest element present in the given array is 7. Input: arr[] = {8, 9, 10, 12} Output: 12Explanation:The largest element present in the given array is 12. Approach: The idea here is to use Dynamic Memory for searching the largest element in the given array. Follow the steps below to solve the problem: Take N elements and a pointer to store the address of N elementsAllocate memory dynamically for N elements.Store the elements in the allocated memory.Traverse the array arr[] to find the largest element among all the numbers by comparing the values using pointers. Below is the implementation of the above approach: C // C program for the above approach #include <stdio.h> #include <stdlib.h> // Function to find the largest element // using dynamic memory allocation void findLargest(int* arr, int N) { int i; // Traverse the array arr[] for (i = 1; i < N; i++) { // Update the largest element if (*arr < *(arr + i)) { *arr = *(arr + i); } } // Print the largest number printf("%d ", *arr); } // Driver Code int main() { int i, N = 4; int* arr; // Memory allocation to arr arr = (int*)calloc(N, sizeof(int)); // Condition for no memory // allocation if (arr == NULL) { printf("No memory allocated"); exit(0); } // Store the elements *(arr + 0) = 14; *(arr + 1) = 12; *(arr + 2) = 19; *(arr + 3) = 20; // Function Call findLargest(arr, N); return 0; } C++ // C++ program for the above approach #include <iostream> using namespace std; // Function to find the largest element // using dynamic memory allocation void findLargest(int* arr, int N) { // Traverse the array arr[] for (int i = 1; i < N; i++) { // Update the largest element if (*arr < *(arr + i)) { *arr = *(arr + i); } } // Print the largest number cout << *arr; } // Driver Code int main() { int N = 4; int* arr; // Memory allocation to arr arr = new int[N]; // Condition for no memory // allocation if (arr == NULL) { cout << "No memory allocated"; } // Store the elements *(arr + 0) = 14; *(arr + 1) = 12; *(arr + 2) = 19; *(arr + 3) = 20; // Function Call findLargest(arr, N); return 0; } Java // Java program for the above approach import java.util.*; class GFG{ // Function to find the largest element // using dynamic memory allocation static void findLargest(int []arr, int N) { // Traverse the array arr[] for (int i = 1; i < N; i++) { // Update the largest element if (arr[0] < (arr[i])) { arr[0] = (arr[i]); } } // Print the largest number System.out.print(arr[0]); } // Driver Code public static void main(String[] args) { int N = 4; int []arr; // Memory allocation to arr arr = new int[N]; // Condition for no memory // allocation if (arr.length < N) { System.out.print("No memory allocated"); } // Store the elements arr[0] = 14; arr[1] = 12; arr[2] = 19; arr[3] = 20; // Function Call findLargest(arr, N); } } // This code is contributed by shikhasingrajput Python3 # Python3 program for # the above approach # Function to find the largest element # using dynamic memory allocation def findLargest(arr, N): # Traverse the array arr for i in range(1, N): # Update the largest element if (arr[0] < (arr[i])): arr[0] = (arr[i]); # Print largest number print(arr[0]); # Driver Code if __name__ == '__main__': N = 4; # Memory allocation to arr arr = [0] * N; # Condition for no memory # allocation if (len(arr) < N): print("No memory allocated"); # Store the elements arr[0] = 14; arr[1] = 12; arr[2] = 19; arr[3] = 20; # Function Call findLargest(arr, N); # This code is contributed by shikhasingrajput C# // C# program for the above approach using System; class GFG{ // Function to find the largest // element using dynamic memory allocation static void findLargest(int []arr, int N) { // Traverse the array []arr for (int i = 1; i < N; i++) { // Update the largest element if (arr[0] < (arr[i])) { arr[0] = (arr[i]); } } // Print the largest number Console.Write(arr[0]); } // Driver Code public static void Main(String[] args) { int N = 4; int []arr; // Memory allocation to arr arr = new int[N]; // Condition for no memory // allocation if (arr.Length < N) { Console.Write("No memory allocated"); } // Store the elements arr[0] = 14; arr[1] = 12; arr[2] = 19; arr[3] = 20; // Function Call findLargest(arr, N); } } // This code is contributed by Rajput-Ji JavaScript // Javascript program for the above approach // Function to find the largest element // using dynamic memory allocation function findLargest(arr, N) { // Traverse the array arr[] for (let i = 1; i < N; i++) { // Update the largest element if (arr[0] < (arr[i])) { arr[0] = (arr[i]); } } // Print the largest number console.log(arr[0]); } // Driver Code let N = 4; let arr = []; // Memory allocation to arr arr = new Array(N); // Condition for no memory // allocation if (arr.length < N) { console.log("No memory allocated"); } // Store the elements arr[0] = 14; arr[1] = 12; arr[2] = 19; arr[3] = 20; // Function Call findLargest(arr, N); // This code is contributed by Saurabh Jaiswal Output: 20 Time Complexity: O(N)Auxiliary Space: O(1) Comment More infoAdvertise with us Next Article Program to find largest element in an array using Dynamic Memory Allocation pushkar_s Follow Improve Article Tags : C Programs C++ Programs DSA Arrays C-Pointers Dynamic Memory Allocation +2 More Practice Tags : Arrays Similar Reads DSA Tutorial - Learn Data Structures and Algorithms DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. 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