C Program
int fact(int n) { int f = 1; for (int i = 2; i <= n; i++) f *= i; return f; } int isStrong(int n) { int sum = 0, x = n; while (x) { sum += fact(x % 10); x /= 10; } return sum == n; }
C Output
Input: 145 Output: Yes, Strong Number
C++ Program
int fact(int n) { int f = 1; for (int i = 2; i <= n; i++) f *= i; return f; } bool isStrong(int n) { int sum = 0, x = n; while (x) { sum += fact(x % 10); x /= 10; } return sum == n; }
C++ Output
Input: 145 Output: true
JAVA Program
int fact(int n) { int f = 1; for (int i = 2; i <= n; i++) f *= i; return f; } boolean isStrong(int n) { int sum = 0, x = n; while (x > 0) { sum += fact(x % 10); x /= 10; } return sum == n; }
JAVA Output
Input: 145 Output: true
Python Program
def is_strong(n): return n == sum(__import__('math').factorial(int(d)) for d in str(n))
Python Output
Input: 145 Output: True
In-Depth Explanation
Example
Consider number 145.
Divide it into digits: 1, 4, and 5
Now, find the factorial of each digit:
1! = 1
4! = 24
5! = 120
Sum them: 1 + 24 + 120 = 145
Because the sum is the same as the original number, 145 is a Strong Number.
Real-Life Analogy
Suppose there is a unique lock that can be opened only if the "power value" (in this case, factorial) of each digit adds just the right amount to recreate the original code. If every component (digits) plays their role impeccably with their factorial potential, you have a match — a "Strong" identity.
It is similar to a team where every individual does his/her best (factorial contribution), and their combined effort is precisely what the team requires — neither more nor less.
Why It Matters
Strong Numbers are interesting in that they combine digit manipulation with factorial reasoning — two core aspects of programming. It's an excellent exercise in:
Looping
Modular arithmetic
Calculating factorials
Conditional tests
This is also helpful to build logic for digit-level pattern issues in competitive programming and interviews.
What You Learn from This
You gain hands-on experience with:
Dissociating numbers into digits by using modulo and division
Writing or calling a factorial function
Comprehending mathematical number properties
Applying conditions to verify patterns of numbers
It strengthens both mathematical reasoning and loop-based programming, allowing you to tackle analogous problems such as Armstrong numbers, Palindromes, or Krishnamurthy numbers.
Interview Relevance and Actual Projects
This is frequently asked in:
College viva or exams
Logic-building phases of coding interviews
Pattern identification in algorithmic tests
In real application, the same type of problem is useful in:
Validation systems
Mathematical apps or games
Competitive programming sites such as HackerRank or Codeforces
Interviewers use this often to observe how you:
Work with numbers
Optimize redundant calculations
Think computationally in code
SEO-Optimized Explanation
Verification if a number is a Strong Number in C, C++, Java, or Python includes calculating the sum of factorials of its digits and comparing it with the given number. It's a standard start problem which solidifies skills for extracting digits, calculating factorials, looping, and conditional statements. This idea is commonly used in programming interviews and coding contests. With real-world applications in math problems and number theory games, Strong Numbers also assist in creating the basis for more complex algorithmic thinking. Studying this improves your logical reasoning and prepares you for digit analysis and mathematical proof questions in real-world programs.
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