C# Program to find Sum of Array

Posted in C# Tutorial

Updated on Oct 27, 2024

By Mari Selvan

👁️ 124 - Views

⏳ 4 mins

💬 1 Comment

Photo Credit to CodeToFun

🙋 Introduction

In the world of programming, array manipulation is a common and essential task. One frequent operation is finding the sum of elements in an array.

In this tutorial, we will explore a simple yet effective C# program that calculates the sum of elements in an array.

📄 Example

Let's dive into the C# code that accomplishes this task.

Program.cs

Copied

using System;

class Program {
  // Function to find the sum of array elements
  static int FindSumOfArray(int[] arr) {
    int sum = 0;

    foreach(int element in arr) {
      sum += element;
    }

    return sum;
  }

  // Driver program
  static void Main() {
    // Replace these values with your array elements
    int[] array = {1, 2, 3, 4, 5};

    // Call the function to find the sum
    int sum = FindSumOfArray(array);

    // Print the result
    Console.WriteLine($"Sum of the array elements: {sum}");
  }
}

💻 Testing the Program

To test the program with different array elements, simply replace the values in the array initialization.

Output

Sum of the array elements: 15

Compile and run the program to see the sum of the array elements.

🧠 How the Program Works

The program defines a function FindSumOfArray that takes an array as input and returns the sum of its elements.
Inside the function, it uses a foreach loop to iterate through the array and accumulates the sum.
The Main method initializes an array with sample values, calls the FindSumOfArray function, and prints the result.

🧐 Understanding the Concept of Sum of Array

Before diving into the code, it's essential to understand the concept of finding the sum of array elements. The sum of an array is obtained by adding up all the elements it contains.

For example, in the array {1, 2, 3, 4, 5}, the sum is 1 + 2 + 3 + 4 + 5 = 15.

🎢 Optimizing the Program

While the provided program is straightforward, you can explore optimizations such as handling large arrays, incorporating error checking, or parallelizing the sum calculation for improved performance.

Feel free to incorporate and modify this code as needed for your specific use case. Happy coding!