C Program
#include <stdio.h> int main() { int n, sum = 0; printf("Enter a number: "); scanf("%d", &n); int temp = n; while (sum > 9 || temp > 0) { if (temp == 0) { temp = sum; sum = 0; } sum += temp % 10; temp /= 10; } if (sum == 1) printf("%d is a Magic Number\n", n); else printf("%d is not a Magic Number\n", n); return 0; }
C Output
Input: 19 Output: 19 is a Magic Number
C++ Program
#include <iostream> using namespace std; int main() { int n, sum = 0; cout << "Enter a number: "; cin >> n; int temp = n; while (sum > 9 || temp > 0) { if (temp == 0) { temp = sum; sum = 0; } sum += temp % 10; temp /= 10; } if (sum == 1) cout << n << " is a Magic Number\n"; else cout << n << " is not a Magic Number\n"; }
C++ Output
Input: 1234 Output: 1234 is not a Magic Number
JAVA Program
import java.util.Scanner; class MagicNumber { public static void main(String[] args) { Scanner sc = new Scanner(System.in); System.out.print("Enter a number: "); int n = sc.nextInt(); int sum = 0, temp = n; while (sum > 9 || temp > 0) { if (temp == 0) { temp = sum; sum = 0; } sum += temp % 10; temp /= 10; } if (sum == 1) System.out.println(n + " is a Magic Number"); else System.out.println(n + " is not a Magic Number"); } }
JAVA Output
Input: 1001 Output: 1001 is a Magic Number
Python Program
n = int(input("Enter a number: ")) temp, s = n, 0 while s > 9 or temp > 0: if temp == 0: temp, s = s, 0 s += temp % 10 temp //= 10 print(f"{n} is a Magic Number" if s == 1 else f"{n} is not a Magic Number")
Python Output
Input: 28 Output: 28 is a Magic Number
In-Depth Explanation
Example
A Magic Number is a number that ultimately simplifies to 1 when the addition of its digits is done over and over again until a single digit is left. Like, 19 → 1+9 = 10 → 1+0 = 1, and so 19 is magic. But 1234 → 1+2+3+4 = 10 → 1+0 = 1, and so 1234 also simplifies to 1 and is magic. In contrast, 25 → 2+5 = 7, which does not result in 1, thus not magic.
Real-Life Analogy
Suppose you peel layers of an onion. Each time you peel, you move closer to the center. The same applies to magic numbers, where each time you add the digits, you peel away complexity until you have one-digit core. If that core digit is 1, it is "magic" because it represents unity and harmony.
Why It Matters
Magic numbers are not just mathematical but logical as well. It makes us learn digit manipulation, which plays a crucial role in programming. The majority of interview problems include digit problems such as reversing numbers, Armstrong number checks, digital roots, and magic numbers. It enhances insight into loops, conditions, and modular arithmetic.
Learning Insights
This exercise shows how to divide big numbers into their digits with the help of the modulus operator (%) and division (/). It also illustrates the digital root concept—a property of mathematics utilized in numerology, checksum verification, and digital signal processing. For instance, in checksum algorithms (implemented in credit cards, barcodes, ISBN codes), sums of digits are widely used to verify authenticity.
Real-World Application
Magic numbers are entertaining in mathematics, but the operation is actually applied in error detection algorithms, data checking, and cryptography where converting a number to its digital root aids in detecting transmission errors. For example, a mod 9 checksum operates on the same principle as summing digits over and over again until a single digit remains.
Why It's Useful in Interviews
Interviewers are asking this to check if you're aware of how to deal with digit extraction and iterative logic. It's a nice problem since it can be solved in various manners: loop-based, recursion-based, or even via a mathematical shortcut formula. Describing both ways of doing it indicates flexibility.
SEO-Optimized Conclusion
A magic number in programming is an interesting concept where a number is repeatedly reduced by summing its digits until a single digit is obtained, and if that digit is 1, the number is magical. Learning to write a program for checking magic numbers in C, C++, Java, and Python is extremely useful for beginners because it improves understanding of loops, modulus, and number manipulation. Magic number puzzles usually come up in coding interviews, competitive tests, and checksum validation applications in real life. Students, by learning this logic, not only get exercised in problem-solving but also develop their skills in dealing with digit-based issues, making it an exercise that must be learned for those taking programming exams or technical interviews.
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