Given an array arr[] of N positive integers, the task is to count the number of array elements which can be expressed as the product of two distinct array elements or as a square of any array element.
Examples:
Input: N = 5, arr[] = {3, 2, 6, 18, 4}
Output: 3
Explanation:
3 elements from the given array 6, 18 and 4 can be expressed as {2 * 3, 6 * 3, 2 * 2} respectively.Input: N = 6, arr[] = {5, 15, 3, 7, 10, 17}
Output: 1
Explanation:
Only 15 can be expressed as 5 * 3.
Naive Approach:
The simplest approach is to traverse the array in the range [0, N-1] and for each number having index value i within the given range, run a nested loop over the same array to find out the two values whose product is arr[i]. If a pair of numbers is found, print 1 else print 0 against the corresponding index.
Time Complexity: O(N3)
Efficient Approach:
To solve the problem, we need to find all factors of each element and for every element, check if any pair of factors of that element is present in the array or not. Follow the steps below to solve the problem:
- Sort the given array in increasing order.
- Now, traverse the array and for each element, find all pairs of factors of that element and check if any of the pairs exist in the array or not using Binary Search.
- Sorting the array allows us to perform Binary Search while searching for factors, thus, reducing the computational complexity to O(logN).
- If any such pair is found, increase the count and move to the next element and repeat the same process.
- Print the final count of all such numbers in the array.
Below is the implementation of the above approach:
// C++ Program to implement the // above approach #include <bits/stdc++.h> using namespace std;
// Stores all factors a number vector< int > v[100000];
// Function to calculate and // store in a vector void div ( int n)
{ for ( int i = 2; i <= sqrt (n);
i++) {
if (n % i == 0) {
v[n].push_back(i);
}
}
} // Function to return the count of // array elements which are a // product of two array elements int prodof2elements( int arr[], int n)
{ int arr2[n];
// Copy elements into a
// a duplicate array
for ( int i = 0; i < n; i++) {
arr2[i] = arr[i];
}
// Sort the duplicate array
sort(arr2, arr2 + n);
// Store the count of elements
int ans = 0;
for ( int i = 0; i < n; i++) {
// If the factors are not
// calculated already
if (v[arr[i]].size() == 0)
div (arr[i]);
// Traverse its factors
for ( auto j : v[arr[i]]) {
// If a pair of
// factors is found
if (binary_search(
arr2, arr2 + n, j)
and binary_search(
arr2, arr2 + n,
arr[i] / j)) {
ans++;
break ;
}
}
}
return ans;
} // Driver Code int main()
{ int arr[] = { 2, 1, 8, 4, 32, 18 };
int N = sizeof (arr) / sizeof (arr[0]);
cout << prodof2elements(arr, N);
return 0;
} |
// Java Program to implement the // above approach import java.util.*;
class GFG{
// Stores all factors a number static Vector<Integer>[] v =
new Vector[ 100000 ];
// Function to calculate and // store in a vector static void div( int n)
{ for ( int i = 2 ;
i <= Math.sqrt(n); i++)
{
if (n % i == 0 )
{
v[n].add(i);
}
}
} // Function to return the count of // array elements which are a // product of two array elements static int prodof2elements( int arr[],
int n)
{ int []arr2 = new int [n];
// Copy elements into a
// a duplicate array
for ( int i = 0 ; i < n; i++)
{
arr2[i] = arr[i];
}
// Sort the duplicate
// array
Arrays.sort(arr2);
// Store the count
// of elements
int ans = 0 ;
for ( int i = 0 ; i < n; i++)
{
// If the factors are not
// calculated already
if (v[arr[i]].size() == 0 )
div(arr[i]);
// Traverse its factors
for ( int j : v[arr[i]])
{
// If a pair of
// factors is found
if (Arrays.binarySearch(arr2, j) >= 0 &&
Arrays.binarySearch(arr2,
( int )arr[i] / j) >= 0 )
{
ans++;
break ;
}
}
}
return ans;
} // Driver Code public static void main(String[] args)
{ int arr[] = { 2 , 1 , 8 , 4 , 32 , 18 };
int N = arr.length;
for ( int i = 0 ; i < v.length; i++)
v[i] = new Vector<Integer>();
System.out.print(prodof2elements(arr, N));
} } // This code is contributed by Princi Singh |
# Python3 program to implement the # above approach import math
# Stores all factors a number v = [[] for i in range ( 100000 )]
# Function to calculate and # store in a vector def div(n):
global v
for i in range ( 2 , int (math.sqrt(n)) + 1 ):
if (n % i = = 0 ):
v[n].append(i)
# Function to return the count of # array elements which are a # product of two array elements def prodof2elements(arr, n):
# Copy elements into a
# a duplicate array
arr2 = arr.copy()
# Sort the duplicate array
arr2.sort()
# Store the count of elements
ans = 0
for i in range (n):
# If the factors are not
# calculated already
if ( len (v[arr[i]]) = = 0 ):
div(arr[i])
# Traverse its factors
for j in v[arr[i]]:
# If a pair of
# factors is found
if j in arr2:
if int (arr[i] / j) in arr2:
ans + = 1
break
return ans
# Driver Code arr = [ 2 , 1 , 8 , 4 , 32 , 18 ]
N = len (arr)
print (prodof2elements(arr, N))
# This code is contributed by avanitrachhadiya2155 |
// C# Program to implement the // above approach using System;
using System.Collections.Generic;
class GFG{
// Stores all factors a number static List< int >[] v =
new List< int >[100000];
// Function to calculate and // store in a vector static void div( int n)
{ for ( int i = 2;
i <= Math.Sqrt(n); i++)
{
if (n % i == 0)
{
v[n].Add(i);
}
}
} // Function to return the count of // array elements which are a // product of two array elements static int prodof2elements( int []arr,
int n)
{ int []arr2 = new int [n];
// Copy elements into a
// a duplicate array
for ( int i = 0; i < n; i++)
{
arr2[i] = arr[i];
}
// Sort the duplicate
// array
Array.Sort(arr2);
// Store the count
// of elements
int ans = 0;
for ( int i = 0; i < n; i++)
{
// If the factors are not
// calculated already
if (v[arr[i]].Count == 0)
div(arr[i]);
// Traverse its factors
foreach ( int j in v[arr[i]])
{
// If a pair of
// factors is found
if (Array.BinarySearch(arr2, j) >= 0 &&
Array.BinarySearch(arr2,
( int )arr[i] / j) >= 0)
{
ans++;
break ;
}
}
}
return ans;
} // Driver Code public static void Main(String[] args)
{ int []arr = {2, 1, 8, 4, 32, 18};
int N = arr.Length;
for ( int i = 0; i < v.Length; i++)
v[i] = new List< int >();
Console.Write(prodof2elements(arr, N));
} } // This code is contributed by Amit Katiyar |
<script> // JavaScript implementation of above approach // Stores all factors a number let v = new Array(100000).fill(0).map(()=>[]);
// Function to calculate and // store in a vector function div(n)
{ for (let i = 2; i <= Math.sqrt(n);i++) {
if (n % i == 0) {
v[n].push(i);
}
}
} // Function to return the count of // array elements which are a // product of two array elements function prodof2elements(arr, n)
{ let arr2 = arr.slice(0,)
// Sort the duplicate array
arr2.sort((a,b)=>a-b);
// Store the count of elements
let ans = 0;
for (let i = 0; i < n; i++) {
// If the factors are not
// calculated already
if (v[arr[i]].length == 0)
div(arr[i]);
// Traverse its factors
for (let j of v[arr[i]]) {
// If a pair of
// factors is found
if (arr2.includes(j) && arr2.includes(Math.floor(arr[i]/j))){
ans++;
break ;
}
}
}
return ans;
} // Driver Code let arr = [ 2, 1, 8, 4, 32, 18 ]; let N = arr.length; document.write(prodof2elements(arr, N), "</br>" );
// This code is contributed by shinjanpatra </script> |
3
Time Complexity: O(N3/2*log N)
Auxiliary Space: O(N)