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Introduction:-
Welcome back to our programming blog! Today, we'll embark on a mathematical journey and learn how to write a Java program to calculate the sum of the first n natural numbers. This seemingly simple problem introduces us to loops, arithmetic operations, and the Gauss formula for summation.
Understanding the Problem:-
In mathematics, the sum of the first n natural numbers is a classic problem. The sum can be calculated using the formula: `sum = n * (n + 1) / 2`. However, we'll also explore an iterative approach using loops for a broader understanding.
Code:-
import java.util.Scanner;
public class SumOfNaturalNumbers {
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
System.out.print("Enter a positive integer n: ");
int n = scanner.nextInt();
int sum = 0;
for (int i = 1; i <= n; i++) {
sum += i;
}
System.out.println("The sum of the first " + n + " natural numbers is: " + sum);
scanner.close();
}
}
Output:-
1. Enter the value of n = 60
sum = 1830
sum = 1830
2. Enter the value of n = 10
sum = 55In this program, we calculate the sum of the first n natural numbers using a for loop
Understanding the Code:-
1. We import the `Scanner` class to read user input.
2. We prompt the user to enter a positive integer n.
3. We initialize a variable `sum` to store the sum of the numbers.
4. The `for` loop iterates from 1 to n, adding each value to the `sum`.
5. We display the calculated sum to the user.
Running Your Program:-
1. Save the code in a file named `SumOfNaturalNumbers.java`.
2. Open a terminal/command prompt and navigate to the directory containing the file.
3. Compile the code: `javac SumOfNaturalNumbers.java`
4. Run the program: `java SumOfNaturalNumbers`
Conclusion:-
You've successfully tackled the problem of calculating the sum of the first n natural numbers using Java. This program gives you hands-on experience with loops, variable manipulation, and basic arithmetic operations. As you advance in programming, you'll discover that understanding and implementing mathematical concepts can lead to elegant solutions for complex problems. Keep exploring, stay curious, and watch out for more programming insights on our blog!
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