Program to check Strong Number
Last Updated :
23 Jul, 2025
Strong Numbers are the numbers whose sum of factorial of digits is equal to the original number. Given a number, check if it is a Strong Number or not.
Examples:
Input : n = 145
Output : Yes
Sum of digit factorials = 1! + 4! + 5!
= 1 + 24 + 120
= 145
Input : n = 534
Output : No
1) Initialize sum of factorials as 0.
2) For every digit d, do following
a) Add d! to sum of factorials.
3) If sum factorials is same as given
number, return true.
4) Else return false.
An optimization is to precompute factorials of all numbers from 0 to 10.
C++
// C++ program to check if a number is
// strong or not.
#include <bits/stdc++.h>
using namespace std;
int f[10];
// Fills factorials of digits from 0 to 9.
void preCompute()
{
f[0] = f[1] = 1;
for (int i = 2; i<10; ++i)
f[i] = f[i-1] * i;
}
// Returns true if x is Strong
bool isStrong(int x)
{
int factSum = 0;
// Traverse through all digits of x.
int temp = x;
while (temp)
{
factSum += f[temp%10];
temp /= 10;
}
return (factSum == x);
}
// Driver code
int main()
{
preCompute();
int x = 145;
isStrong(x) ? cout << "Yes\n" : cout << "No\n";
x = 534;
isStrong(x) ? cout << "Yes\n" : cout << "No\n";
return 0;
}
Java
// Java program to check if
// a number is Strong or not
class CheckStrong
{
static int f[] = new int[10];
// Fills factorials of digits from 0 to 9.
static void preCompute()
{
f[0] = f[1] = 1;
for (int i = 2; i<10; ++i)
f[i] = f[i-1] * i;
}
// Returns true if x is Strong
static boolean isStrong(int x)
{
int factSum = 0;
// Traverse through all digits of x.
int temp = x;
while (temp>0)
{
factSum += f[temp%10];
temp /= 10;
}
return (factSum == x);
}
// main function
public static void main (String[] args)
{
// calling preCompute
preCompute();
// first pass
int x = 145;
if(isStrong(x))
{
System.out.println("Yes");
}
else
System.out.println("No");
// second pass
x = 534;
if(isStrong(x))
{
System.out.println("Yes");
}
else
System.out.println("No");
}
}
Python3
# Python program to check if a number is
# strong or not.
f = [None] * 10
# Fills factorials of digits from 0 to 9.
def preCompute() :
f[0] = f[1] = 1;
for i in range(2,10) :
f[i] = f[i-1] * i
# Returns true if x is Strong
def isStrong(x) :
factSum = 0
# Traverse through all digits of x.
temp = x
while (temp) :
factSum = factSum + f[temp % 10]
temp = temp // 10
return (factSum == x)
# Driver code
preCompute()
x = 145
if(isStrong(x) ) :
print ("Yes")
else :
print ("No")
x = 534
if(isStrong(x)) :
print ("Yes")
else:
print ("No")
# This code is contributed by Nikita Tiwari.
C#
// C# program to check if
// a number is Strong or not
using System;
class CheckStrong
{
static int []f = new int[10];
// Fills factorials of digits from 0 to 9.
static void preCompute()
{
f[0] = f[1] = 1;
for (int i = 2; i < 10; ++i)
f[i] = f[i - 1] * i;
}
// Returns true if x is Strong
static bool isStrong(int x)
{
int factSum = 0;
// Traverse through all digits of x.
int temp = x;
while (temp > 0)
{
factSum += f[temp % 10];
temp /= 10;
}
return (factSum == x);
}
// Driver Code
public static void Main ()
{
// calling preCompute
preCompute();
// first pass
int x = 145;
if(isStrong(x))
{
Console.WriteLine("Yes");
}
else
Console.WriteLine("No");
// second pass
x = 534;
if(isStrong(x))
{
Console.WriteLine("Yes");
}
else
Console.WriteLine("No");
}
}
// This code is contributed by Nitin Mittal.
JavaScript
<script>
// Javascript program to check if a number is
// strong or not.
let f = new Array(10);
// Fills factorials of digits from 0 to 9.
function preCompute()
{
f[0] = f[1] = 1;
for (let i = 2; i<10; ++i)
f[i] = f[i-1] * i;
}
// Returns true if x is Strong
function isStrong(x)
{
let factSum = 0;
// Traverse through all digits of x.
let temp = x;
while (temp)
{
factSum += f[temp%10];
temp = Math.floor(temp/10);
}
return (factSum == x);
}
// Driver code
preCompute();
let x = 145;
isStrong(x) ? document.write("Yes" + "<br>") :
document.write("No" + "<br>");
x = 534;
isStrong(x) ? document.write("Yes" + "<br>") :
document.write("No" + "<br>");
//This code is contributed by Mayank Tyagi
</script>
PHP
<?php
// PHP program to check if a number
// is strong or not.
$f[10] = array();
// Fills factorials of digits
// from 0 to 9.
function preCompute()
{
global $f;
$f[0] = $f[1] = 1;
for ($i = 2; $i < 10; ++$i)
$f[$i] = $f[$i - 1] * $i;
}
// Returns true if x is Strong
function isStrong($x)
{
global $f;
$factSum = 0;
// Traverse through all digits of x.
$temp = $x;
while ($temp)
{
$factSum += $f[$temp % 10];
$temp = (int)$temp / 10;
}
return ($factSum == $x);
}
// Driver code
preCompute();
$x = 145;
if(isStrong(!$x))
echo "Yes\n";
else
echo "No\n";
$x = 534;
if(isStrong($x))
echo "Yes\n";
else
echo "No\n";
// This code is contributed by jit_t
?>
Time Complexity: O(logn)
Auxiliary Space: O(1), since constant extra space has been taken.
Approach#2: Using Iterative Method
This approach converts the input number into a list of its digits. It then computes the factorial sum of each digit and adds them up. If the final sum is equal to the input number, it returns "Yes", otherwise it returns "No".
Algorithm
1. Define a function is_strong(n) that takes a number n as input.
2. Convert the number to a string and get its digits.
3. Calculate the factorial of each digit using an iterative method.
4. Sum the factorials of all digits.
5. If the sum is equal to the number n, return "Yes", otherwise return "No".
C++
// C++ code addition
#include <iostream>
#include <vector>
#include <string>
using namespace std;
string is_strong(int n) {
// Convert the number to an array of digits
vector<int> digits;
int temp = n;
// Loop through each digit
while (temp != 0) {
digits.insert(digits.begin(), temp % 10);
temp /= 10;
}
int factorial_sum = 0;
// Calculate the factorial of the digit
for (int d : digits) {
int f = 1;
for (int i = 1; i <= d; i++) {
f *= i;
}
// Add the factorial to the sum
factorial_sum += f;
}
// Check if the sum of factorials is equal to the original number
if (factorial_sum == n) {
return "Yes";
} else {
return "No";
}
}
int main() {
int n = 145;
cout << is_strong(n) << endl;
return 0;
}
// The code is contributed by Arushi Goel.
Java
import java.util.ArrayList;
public class Main {
// Function to check if a number is a strong number
static String isStrong(int n)
{
// Convert the number to an array of digits
ArrayList<Integer> digits = new ArrayList<>();
int temp = n;
// Loop through each digit
while (temp != 0) {
digits.add(0, temp % 10);
temp /= 10;
}
int factorialSum = 0;
// Calculate the factorial of each digit and add to
// the sum
for (int d : digits) {
int f = 1;
for (int i = 1; i <= d; i++) {
f *= i;
}
factorialSum += f;
}
// Check if the sum of factorials is equal to the
// original number
if (factorialSum == n) {
return "Yes";
}
else {
return "No";
}
}
// Driver's code
public static void main(String[] args)
{
// Test case
int n = 145;
// Displaying whether the number is strong or not
System.out.println(isStrong(n));
}
}
Python3
def is_strong(n):
digits = [int(d) for d in str(n)]
factorial_sum = 0
for d in digits:
f = 1
for i in range(1, d+1):
f *= i
factorial_sum += f
if factorial_sum == n:
return "Yes"
else:
return "No"
n=145
print(is_strong(n))
C#
using System;
class Program
{
static string IsStrong(int n)
{
// Convert the number to an array of digits
char[] digits = n.ToString().ToCharArray();
int factorialSum = 0;
// Loop through each digit
foreach (char digit in digits)
{
int d = int.Parse(digit.ToString());
int f = 1;
// Calculate the factorial of the digit
for (int i = 1; i <= d; i++)
{
f *= i;
}
// Add the factorial to the sum
factorialSum += f;
}
// Check if the sum of factorials is equal to the original number
return (factorialSum == n) ? "Yes" : "No";
}
static void Main()
{
int n = 145;
Console.WriteLine(IsStrong(n));
}
}
JavaScript
// Function to check if a number is a strong number
function is_strong(n) {
// Convert the number to an array of digits
let digits = Array.from(String(n), Number);
let factorial_sum = 0;
// Loop through each digit
for (let d of digits) {
let f = 1;
// Calculate the factorial of the digit
for (let i = 1; i <= d; i++) {
f *= i;
}
// Add the factorial to the sum
factorial_sum += f;
}
// Check if the sum of factorials is equal to the original number
if (factorial_sum == n) {
return "Yes";
} else {
return "No";
}
}
let n = 145;
console.log(is_strong(n));
Time Complexity: O(kn^2), where k is the number of digits in the number and n is the maximum value of a digit
Auxiliary Space: O(k), where k is the number of digits in the number.
Similar Reads
Basics & Prerequisites
Data Structures
Array Data StructureIn this article, we introduce array, implementation in different popular languages, its basic operations and commonly seen problems / interview questions. An array stores items (in case of C/C++ and Java Primitive Arrays) or their references (in case of Python, JS, Java Non-Primitive) at contiguous
3 min read
String in Data StructureA string is a sequence of characters. The following facts make string an interesting data structure.Small set of elements. Unlike normal array, strings typically have smaller set of items. For example, lowercase English alphabet has only 26 characters. ASCII has only 256 characters.Strings are immut
2 min read
Hashing in Data StructureHashing is a technique used in data structures that efficiently stores and retrieves data in a way that allows for quick access. Hashing involves mapping data to a specific index in a hash table (an array of items) using a hash function. It enables fast retrieval of information based on its key. The
2 min read
Linked List Data StructureA linked list is a fundamental data structure in computer science. It mainly allows efficient insertion and deletion operations compared to arrays. Like arrays, it is also used to implement other data structures like stack, queue and deque. Hereâs the comparison of Linked List vs Arrays Linked List:
2 min read
Stack Data StructureA Stack is a linear data structure that follows a particular order in which the operations are performed. The order may be LIFO(Last In First Out) or FILO(First In Last Out). LIFO implies that the element that is inserted last, comes out first and FILO implies that the element that is inserted first
2 min read
Queue Data StructureA Queue Data Structure is a fundamental concept in computer science used for storing and managing data in a specific order. It follows the principle of "First in, First out" (FIFO), where the first element added to the queue is the first one to be removed. It is used as a buffer in computer systems
2 min read
Tree Data StructureTree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes. Types of TreeBinary Tree : Every node has at most two childrenTernary Tree : Every node has at most
4 min read
Graph Data StructureGraph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of problems on different topics like DFS, BFS, Topological Sort, Shortest Path, etc., please refer to Graph Algorithms. Basics of
3 min read
Trie Data StructureThe Trie data structure is a tree-like structure used for storing a dynamic set of strings. It allows for efficient retrieval and storage of keys, making it highly effective in handling large datasets. Trie supports operations such as insertion, search, deletion of keys, and prefix searches. In this
15+ min read
Algorithms
Searching AlgorithmsSearching algorithms are essential tools in computer science used to locate specific items within a collection of data. In this tutorial, we are mainly going to focus upon searching in an array. When we search an item in an array, there are two most common algorithms used based on the type of input
2 min read
Sorting AlgorithmsA Sorting Algorithm is used to rearrange a given array or list of elements in an order. For example, a given array [10, 20, 5, 2] becomes [2, 5, 10, 20] after sorting in increasing order and becomes [20, 10, 5, 2] after sorting in decreasing order. There exist different sorting algorithms for differ
3 min read
Introduction to RecursionThe process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. A recursive algorithm takes one step toward solution and then recursively call itself to further move. The algorithm stops once we reach the solution
14 min read
Greedy AlgorithmsGreedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. At every step of the algorithm, we make a choice that looks the best at the moment. To make the choice, we sometimes sort the array so that we can always get
3 min read
Graph AlgorithmsGraph is a non-linear data structure like tree data structure. The limitation of tree is, it can only represent hierarchical data. For situations where nodes or vertices are randomly connected with each other other, we use Graph. Example situations where we use graph data structure are, a social net
3 min read
Dynamic Programming or DPDynamic Programming is an algorithmic technique with the following properties.It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The idea is to simply store the results of
3 min read
Bitwise AlgorithmsBitwise algorithms in Data Structures and Algorithms (DSA) involve manipulating individual bits of binary representations of numbers to perform operations efficiently. These algorithms utilize bitwise operators like AND, OR, XOR, NOT, Left Shift, and Right Shift.BasicsIntroduction to Bitwise Algorit
4 min read
Advanced
Segment TreeSegment Tree is a data structure that allows efficient querying and updating of intervals or segments of an array. It is particularly useful for problems involving range queries, such as finding the sum, minimum, maximum, or any other operation over a specific range of elements in an array. The tree
3 min read
Pattern SearchingPattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data. Patten SearchingImportant Pattern Searching Algorithms:Naive String Matching : A Simple Algorithm that works i
2 min read
GeometryGeometry is a branch of mathematics that studies the properties, measurements, and relationships of points, lines, angles, surfaces, and solids. From basic lines and angles to complex structures, it helps us understand the world around us.Geometry for Students and BeginnersThis section covers key br
2 min read
Interview Preparation
Practice Problem