JavaScript Program to find Sum of Array

Posted in JavaScript Tutorial

Updated on Jan 11, 2024

By Mari Selvan

👁️ 63 - 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 javascript program that calculates the sum of elements in an array.

📄 Example

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

findSumOfArray.js

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// Function to find the sum of array elements
function findSumOfArray(arr) {
  let sum = 0;

  for (let i = 0; i < arr.length; ++i) {
    sum += arr[i];
  }

  return sum;
}

// Driver program
// Replace these values with your array elements
const array = [1, 2, 3, 4, 5];

// Call the function to find the sum
const sum = findSumOfArray(array);

// Print the result
console.log(`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 iterates through the array and accumulates the sum.
The driver program 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!