A Sphenic Number is a positive integer n which is a product of exactly three distinct primes. The first few sphenic numbers are 30, 42, 66, 70, 78, 102, 105, 110, 114, ...
Given a number n, determine whether it is a Sphenic Number or not.
Examples:
Input: 30
Output : Yes
Explanation: 30 is the smallest Sphenic number,
30 = 2 × 3 × 5 the product of the smallest three primes
Input: 60
Output : No
Explanation: 60 = 22 x 3 x 5 has exactly 3 prime factors but is not a sphenic number
The sphenic number can be checked by the fact that every sphenic number will have exactly 8 divisors SPHENIC NUMBER
So first We will try to find if the number has exactly 8 divisors if not then the simple answer is no. If there are exactly 8 divisors then we will confirm whether the first 3 digits after 1 are prime or not.
Eg. 30 (sphenic number)
30=p*q*r(i.e p,q and r are three distinct prime no and their product are 30)
the set of divisor is (1,2,3,5,6,10,15,30).
Below is the implementation of the idea.
C++
// C++ program to check whether a number is a
// Sphenic number or not
#include<bits/stdc++.h>
using namespace std;
//create a global array of size 10001;
bool arr[1001];
// This functions finds all primes smaller than 'limit'
// using simple sieve of eratosthenes.
void simpleSieve()
{
// initialize all entries of it as true. A value
// in mark[p] will finally be false if 'p' is Not
// a prime, else true.
memset(arr,true,sizeof(arr));
// One by one traverse all numbers so that their
// multiples can be marked as composite.
for(int p=2;p*p<1001;p++)
{
// If p is not changed, then it is a prime
if(arr[p])
{// Update all multiples of p
for(int i=p*2;i<1001;i=i+p)
arr[i]=false;
}
}
}
int find_sphene(int N)
{
int arr1[8]={0}; //to store the 8 divisors
int count=0; //to count the number of divisor
int j=0;
for(int i=1;i<=N;i++)
{
if(N%i==0 &&count<9)
{
count++;
arr1[j++]=i;
}
}
//finally check if there re 8 divisor and all the numbers are distinct prime no return 1
//else return 0
if(count==8 && (arr[arr1[1]] && arr[arr1[2]] && arr[arr1[3]]))
return 1;
return 0;
}
// Driver program to test above function
int main()
{
int n = 60;
simpleSieve();
int ans=find_sphene(n);
if(ans)
cout<<"Yes";
else
cout<<"NO";
}
Java
// Java program to check whether a number is a
// Sphenic number or not
import java.util.*;
class GFG
{
// create a global array of size 10001;
static boolean []arr = new boolean[1001];
// This functions finds all primes smaller than 'limit'
// using simple sieve of eratosthenes.
static void simpleSieve()
{
// initialize all entries of it as true. A value
// in mark[p] will finally be false if 'p' is Not
// a prime, else true.
Arrays.fill(arr, true);
// One by one traverse all numbers so that their
// multiples can be marked as composite.
for(int p = 2; p * p < 1001; p++)
{
// If p is not changed, then it is a prime
if(arr[p])
{
// Update all multiples of p
for(int i = p * 2; i < 1001; i = i + p)
arr[i] = false;
}
}
}
static int find_sphene(int N)
{
int []arr1 = new int[8]; // to store the 8 divisors
int count = 0; // to count the number of divisor
int j = 0;
for(int i = 1; i <= N; i++)
{
if(N % i == 0 && count < 8)
{
count++;
arr1[j++] = i;
}
}
// finally check if there re 8 divisor and
// all the numbers are distinct prime no return 1
// else return 0);
if(count == 8 && (arr[arr1[1]] && arr[arr1[2]] && arr[arr1[3]]))
return 1;
return 0;
}
// Driver code
public static void main(String[] args)
{
int n = 60;
simpleSieve();
int ans = find_sphene(n);
if(ans == 1)
System.out.print("Yes");
else
System.out.print("NO");
}
}
// This code is contributed by aashish1995
C#
// C# program to check whether a number
// is a Sphenic number or not
using System;
class GFG{
// Create a global array of size 10001;
static bool []arr = new bool[1001];
// This functions finds all primes smaller than
// 'limit'. Using simple sieve of eratosthenes.
static void simpleSieve()
{
// Initialize all entries of it as true.
// A value in mark[p] will finally be
// false if 'p' is Not a prime, else true.
for(int i = 0;i<1001;i++)
arr[i] = true;
// One by one traverse all numbers so
// that their multiples can be marked
// as composite.
for(int p = 2; p * p < 1001; p++)
{
// If p is not changed, then it
// is a prime
if (arr[p])
{
// Update all multiples of p
for(int i = p * 2; i < 1001; i = i + p)
arr[i] = false;
}
}
}
static int find_sphene(int N)
{
// To store the 8 divisors
int []arr1 = new int[8];
// To count the number of divisor
int count = 0;
int j = 0;
for(int i = 1; i <= N; i++)
{
if (N % i == 0 && count < 8)
{
count++;
arr1[j++] = i;
}
}
// Finally check if there re 8 divisor
// and all the numbers are distinct prime
// no return 1 else return 0);
if (count == 8 && (arr[arr1[1]] &&
arr[arr1[2]] && arr[arr1[3]]))
return 1;
return 0;
}
// Driver code
public static void Main(String[] args)
{
int n = 60;
simpleSieve();
int ans = find_sphene(n);
if (ans == 1)
Console.Write("Yes");
else
Console.Write("NO");
}
}
// This code is contributed by aashish1995
JavaScript
<script>
// javascript program to check whether a number is a
// Sphenic number or not
// create a global array of size 10001;
// initialize all entries of it as true. A value
// in mark[p] will finally be false if 'p' is Not
// a prime, else true.
let arr = Array(1001).fill(true);
// This functions finds all primes smaller than 'limit'
// using simple sieve of eratosthenes.
function simpleSieve()
{
// One by one traverse all numbers so that their
// multiples can be marked as composite.
for (let p = 2; p * p < 1001; p++) {
// If p is not changed, then it is a prime
if (arr[p]) {
// Update all multiples of p
for (let i = p * 2; i < 1001; i = i + p)
arr[i] = false;
}
}
}
function find_sphene(N) {
var arr1 = Array(8).fill(0); // to store the 8 divisors
var count = 0; // to count the number of divisor
var j = 0;
for (let i = 1; i <= N; i++) {
if (N % i == 0 && count < 8) {
count++;
arr1[j++] = i;
}
}
// finally check if there re 8 divisor and
// all the numbers are distinct prime no return 1
// else return 0);
if (count == 8 && (arr[arr1[1]] && arr[arr1[2]] && arr[arr1[3]]))
return 1;
return 0;
}
// Driver code
var n = 60;
simpleSieve();
var ans = find_sphene(n);
if (ans == 1)
document.write("Yes");
else
document.write("NO");
// This code is contributed by aashish1995
</script>
Python3
def simpleSieve():
# Initialize all entries of arr as True
arr = [True] * 1001
# One by one traverse all numbers so that their
# multiples can be marked as composite
for p in range(2, int(1001 ** 0.5) + 1):
# If p is not changed, then it is a prime
if arr[p]:
# Update all multiples of p
for i in range(p * 2, 1001, p):
arr[i] = False
return arr
def find_sphene(N):
arr = simpleSieve()
arr1 = [0] * 8 # to store the 8 divisors
count = 0 # to count the number of divisors
j = 0
for i in range(1, N + 1):
if N % i == 0 and count < 9:
count += 1
arr1[j] = i
j += 1
# finally check if there are 8 divisors and all the numbers are distinct prime no return 1
# else return 0
if count == 8 and all(arr[arr1[i]] for i in range(1, 4)):
return 1
return 0
# Driver program to test above function
if __name__ == "__main__":
n = 60
ans = find_sphene(n)
if ans:
print("Yes")
else:
print("No")
Output:
NO
Time Complexity: O(?p log p)
Auxiliary Space: O(n)
References:
1. OEIS
2. https://en.wikipedia.org/wiki/Sphenic_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