Given an array arr[] consisting of N positive integers, the task is to find all the possible distinct Greatest Common Divisors(GCDs) among all the non-empty subsequences of the array arr[].
Examples:
Input: arr[] = {3, 4, 8}
Output: 1 3 4 8
Explanation:
The non-empty subsequences possible are {3}, {4}, {8}, {3, 4}, {4, 8}, {3, 8}, {3, 4, 8} and their corresponding GCDs are 3, 4, 8, 1, 4, 1, 1.
Therefore, print all the GCDs as {1, 3, 4, 8}.Input: arr[] = {3, 8, 9, 4, 13, 45, 6}
Output: 1 2 3 4 6 8 9 13 45
Naive Approach: The simplest approach to solve the given problem is to generate all possible subsequences of the given array and store all the GCDs of the subsequence in a set. After checking for all the subsequences, print the element stores in the set as all possible GCDs that can be formed.
Time Complexity: O(log M*2N), where M is the maximum element of the array.
Auxiliary Space: O(1)
Efficient Approach: The above approach can also be optimized using Greedy Approach by observing the fact that the GCD of any subsequence lies over the range [1, M] where M is the maximum element of the array. Therefore, the idea is to iterate over then range [1, M] and if any element in the range is a factor of an array element then print the current element as one of the resultant GCD. Follow the steps below to solve the problem:
- Store all the array elements in the HashSet, say s.
- Iterate over the range [1, M] using the variable i and perform the following steps:
- Iterate through all the multiples of i, if there exists any multiple which is present in the HashSet, then print the current element i as one of the possible GCD.
Below is an implementation of the above approach:
// C++ program for the above approach
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to find the different GCDs of
// the subsequence of the given array
void findGCDsSubsequence(vector<int> arr)
{
// Stores all the possible GCDs
vector<int> ans;
// Stores all array element in set
set<int> s;
for(int i : arr)
s.insert(i);
int M = *max_element(arr.begin(), arr.end());
// Iterate over the range [1, M]
for(int i = 1; i <= M; i++)
{
int gcd = 0;
// Check if i can be the GCD of
// any subsequence
for(int j = i; j < M + 1; j += i)
{
if (s.find(j) != s.end())
gcd = __gcd(gcd, j);
}
if (gcd == i)
ans.push_back(i);
}
for(int i = 0; i < ans.size(); i++)
cout << ans[i] << " ";
}
// Driver Code
int main()
{
int N = 7;
vector<int> arr = { 3, 4, 8 };
// Function Call
findGCDsSubsequence(arr);
return 0;
}
// This code is contributed by parthagarwal1962000
// Java program for the above approach
import java.util.*;
public class GFG {
static int gcd1(int a, int b)
{
return b == 0 ? a : gcd1(b, a % b);
}
// Function to find the different GCDs of
// the subsequence of the given array
static void findGCDsSubsequence(ArrayList<Integer> arr)
{
// Stores all the possible GCDs
ArrayList<Integer> ans = new ArrayList<Integer>();
// Stores all array element in set
HashSet<Integer> s = new HashSet<Integer>();
for(int i : arr)
s.add(i);
int M = Integer.MIN_VALUE;
for(int i : arr)
{
if (i > M)
M = i;
}
// Iterate over the range [1, M]
for(int i = 1; i <= M; i++)
{
int gcd = 0;
// Check if i can be the GCD of
// any subsequence
for(int j = i; j < M + 1; j += i)
{
if (s.contains(j))
gcd = gcd1(gcd, j);
}
if (gcd == i)
ans.add(i);
}
for(int i = 0; i < ans.size(); i++)
System.out.print(ans.get(i) + " ");
}
// Driver Code
public static void main(String args[])
{
ArrayList<Integer> arr = new ArrayList<Integer>();
arr.add(3);
arr.add(4);
arr.add(8);
// Function Call
findGCDsSubsequence(arr);
}
}
// This code is contributed by SoumikMondal
# Python3 program for the above approach
import math
# Function to find the different GCDs of
# the subsequence of the given array
def findGCDsSubsequence(nums):
# Stores all the possible GCDs
Ans = []
# Stores all array element in set
s = set(nums)
# Find the maximum array element
M = max(nums)
# Iterate over the range [1, M]
for i in range(1, M + 1):
# Stores the GCD of subsequence
gcd = 0
# Check if i can be the GCD of
# any subsequence
for j in range(i, M + 1, i):
if j in s:
gcd = math.gcd(gcd, j)
# Store the value i in Ans[]
# if it can be the GCD
if gcd == i:
Ans += [i]
# Print all possible GCDs stored
print(*Ans)
# Driver Code
N = 7
arr = [3, 4, 8]
# Function Call
findGCDsSubsequence(arr)
// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG{
static int gcd1(int a, int b)
{
return b == 0 ? a : gcd1(b, a % b);
}
// Function to find the different GCDs of
// the subsequence of the given array
static void findGCDsSubsequence(List<int> arr)
{
// Stores all the possible GCDs
List<int> ans = new List<int>();
// Stores all array element in set
HashSet<int> s = new HashSet<int>();
foreach(int i in arr)
s.Add(i);
int M = Int32.MinValue;
foreach(int i in arr)
{
if (i > M)
M = i;
}
// Iterate over the range [1, M]
for(int i = 1; i <= M; i++)
{
int gcd = 0;
// Check if i can be the GCD of
// any subsequence
for(int j = i; j < M + 1; j += i)
{
if (s.Contains(j))
gcd = gcd1(gcd, j);
}
if (gcd == i)
ans.Add(i);
}
for(int i = 0; i < ans.Count; i++)
Console.Write(ans[i] + " ");
}
// Driver Code
public static void Main()
{
List<int> arr = new List<int>(){ 3, 4, 8 };
// Function Call
findGCDsSubsequence(arr);
}
}
// This code is contributed by SURENDRA_GANGWAR
<script>
// JavaScript program for the above approach
function __gcd(a, b) {
if (b == 0)
return a;
return __gcd(b, a % b);
}
// Function to find the different GCDs of
// the subsequence of the given array
function findGCDsSubsequence(arr) {
// Stores all the possible GCDs
let ans = [];
// Stores all array element in set
let s = new Set();
for (let i of arr)
s.add(i);
let M = [...arr].sort((a, b) => b - a)[0]
// Iterate over the range [1, M]
for (let i = 1; i <= M; i++) {
let gcd = 0;
// Check if i can be the GCD of
// any subsequence
for (let j = i; j < M + 1; j += i) {
if (s.has(j))
gcd = __gcd(gcd, j);
}
if (gcd == i)
ans.push(i);
}
for (let i = 0; i < ans.length; i++)
document.write(ans[i] + " ");
}
// Driver Code
let N = 7;
let arr = [3, 4, 8];
// Function Call
findGCDsSubsequence(arr);
// This code is contributed by gfgking
</script>
Output
1 3 4 8
Time Complexity: O(M*log M), where M is the maximum element of the array.
Auxiliary Space: O(N)