Given an array arr[] of N integers, the task is to find the count of all subarrays from the given array of at least size 3 forming a Geometric Progression.
Examples:
Input: arr[] = {1, 2, 4, 8}
Output: 3
Explanation: The required subarrays forming geometric progression are:
- {1, 2, 4}
- {2, 4, 8}
- {1, 2, 4, 8}
Input: arr[] = {1, 2, 4, 8, 16, 24}
Output: 6
Explanation: The required subarrays forming geometric progression are:
- {1, 2, 4}
- {2, 4, 8}
- {4, 8, 16}
- {1, 2, 4, 8}
- {2, 4, 8, 16}
- {1, 2, 4, 8, 16}
Naive Approach: The simplest approach is to generate all the subarrays of size at least 3 and count all those subarrays forming a Geometric Progression. Print the count after checking all the subarrays.
Time Complexity: O(N3)
Auxiliary Space: O(N)
Efficient Approach: The idea is to use a property of Geometric Progression i.e., {a, b, c} is GP if and only if a*c = b. Follow the below steps to solve the problem:
- Initialize a variable, res, and count with 0 to store the total subarrays forming geometric progression and length of the current subarray.
- Traverse the given array over the range [2, N - 1] and increment the value of count if the current element forming a geometric progression i.e., arr[i]*arr[i - 2] = arr[i - 1]*arr[i - 1] Otherwise, set count as zero.
- Add count to res for each iteration in the above steps.
- After the above steps, print the value of res as the resultant count.
Below is the implementation of the above approach:
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to count all the subarrays
// of size at least 3 forming GP
int numberOfGP(int L[], int N)
{
// If array size is less than 3
if (N <= 2)
return 0;
// Stores the count of subarray
int count = 0;
// Stores the count of subarray
// for each iteration
int res = 0;
// Traverse the array
for (int i = 2; i < N; ++i) {
// Check if L[i] forms GP
if (L[i - 1] * L[i - 1]
== L[i] * L[i - 2]) {
++count;
}
// Otherwise, update count to 0
else {
count = 0;
}
// Update the final count
res += count;
}
// Return the final count
return res;
}
// Driver Code
int main()
{
// Given array arr[]
int arr[] = { 1, 2, 4, 8, 16, 24 };
int N = sizeof(arr) / sizeof(arr[0]);
// Function Call
cout << numberOfGP(arr, N);
return 0;
}
// Java program for the
// above approach
import java.util.*;
class GFG{
// Function to count all
// the subarrays of size
// at least 3 forming GP
static int numberOfGP(int L[],
int N)
{
// If array size
// is less than 3
if (N <= 2)
return 0;
// Stores the count
// of subarray
int count = 0;
// Stores the count
// of subarray for
// each iteration
int res = 0;
// Traverse the array
for (int i = 2; i < N; ++i)
{
// Check if L[i] forms GP
if (L[i - 1] * L[i - 1] ==
L[i] * L[i - 2])
{
++count;
}
// Otherwise, update
// count to 0
else
{
count = 0;
}
// Update the
// final count
res += count;
}
// Return the final count
return res;
}
// Driver Code
public static void main(String[] args)
{
// Given array arr[]
int arr[] = {1, 2, 4,
8, 16, 24};
int N = arr.length;
// Function Call
System.out.print(numberOfGP(arr, N));
}
}
// This code is contributed by gauravrajput1
# Python3 program for the above approach
# Function to count all the subarrays
# of size at least 3 forming GP
def numberOfGP(L, N):
# If array size is less than 3
if (N <= 2):
return 0
# Stores the count of subarray
count = 0
# Stores the count of subarray
# for each iteration
res = 0
# Traverse the array
for i in range(2, N):
# Check if L[i] forms GP
if (L[i - 1] * L[i - 1] ==
L[i] * L[i - 2]):
count += 1
# Otherwise, update count to 0
else:
count = 0
# Update the final count
res += count
# Return the final count
return res
# Driver Code
if __name__ == '__main__':
# Given array arr[]
arr = [ 1, 2, 4, 8, 16, 24 ]
N = len(arr)
# Function Call
print(numberOfGP(arr, N))
# This code is contributed by mohit kumar 29
// C# program for the
// above approach
using System;
class GFG {
// Function to count all
// the subarrays of size
// at least 3 forming GP
static int numberOfGP(int[] L,
int N)
{
// If array size
// is less than 3
if (N <= 2)
return 0;
// Stores the count
// of subarray
int count = 0;
// Stores the count
// of subarray for
// each iteration
int res = 0;
// Traverse the array
for (int i = 2; i < N; ++i)
{
// Check if L[i] forms GP
if (L[i - 1] * L[i - 1] ==
L[i] * L[i - 2])
{
++count;
}
// Otherwise, update
// count to 0
else
{
count = 0;
}
// Update the
// final count
res += count;
}
// Return the final
// count
return res;
}
// Driver Code
public static void Main(String[] args)
{
// Given array arr[]
int[] arr = {1, 2, 4, 8, 16, 24};
int N = arr.Length;
// Function Call
Console.Write(numberOfGP(arr, N));
}
}
// This code is contributed by Chitranayal
<script>
// Javascript program for the above approach
// Function to count all the subarrays
// of size at least 3 forming GP
function numberOfGP(L, N)
{
// If array size is less than 3
if (N <= 2)
return 0;
// Stores the count of subarray
let count = 0;
// Stores the count of subarray
// for each iteration
let res = 0;
// Traverse the array
for (let i = 2; i < N; ++i) {
// Check if L[i] forms GP
if (L[i - 1] * L[i - 1]
== L[i] * L[i - 2]) {
++count;
}
// Otherwise, update count to 0
else {
count = 0;
}
// Update the final count
res += count;
}
// Return the final count
return res;
}
// Driver Code
// Given array arr[]
let arr = [ 1, 2, 4, 8, 16, 24];
let N = arr.length;
// Function Call
document.write(numberOfGP(arr, N));
// This code is contributed by Mayank Tyagi
</script>
Output
6
Time Complexity: O(N)
Auxiliary Space: O(1) as it is using constant variables