Given a sorted array **arr[]** consisting of **N** distinct elements, the task is to find the maximum possible common difference of an arithmetic progression such that the given array is a subsequence of that arithmetic progression.

**Examples:**

Input:arr[] = { 2, 4, 6, 8 }Output:2Explanation:

Since arr[] is a subsequence of the arithmetic progression { 2, 4, 6, 8, 10, …}, the common difference of the arithmetic progression is 2.

Input:arr[] = { 2, 5, 11, 23 }Output:3Explanation:

Since arr[] is a subsequence of the arithmetic progression { 2, 5, 8, 11, 14, …, 23, …}, the common difference of the arithmetic progression is 2.

**Naive Approach:** The simplest approach to solve this problem is to iterate over the range **[(arr[N – 1] – arr[0]), 1]** using variable **CD**(common difference) and for every value in the range, check if the given array can be a subsequent of an arithmetic progressions with the first element as **arr[0]** and the common difference as **CD**. This is possible by simply checking if the difference between every pair of adjacent array elements is divisible by **CD** or not. If found to be true, then print the value of **CD** as the maximum possible answer.

**Time Complexity:** O(N * (Maxm – Minm)), where **Maxm** and **Minm** are the last and first array elements respectively. **Auxiliary Space:** O(1)

**Efficient Approach:** The above approach can be optimized based on the following observations:

If arr[i] is X

^{th}term and arr[0] is the first term of an arithmetic progression with common difference CD, then:

arr[i] = arr[0] + (X – 1) * CD

=> (arr[i] – arr[0]) = (X – 1) * CDTherefore, the maximum possible common difference of the AP is the GCD of the absolute difference of each pair of adjacent array lements.

Follow the steps below to solve the problem:

- Initialize a variable, say
**maxCD**, to store the maximum possible common difference of an arithmetic progression such that the given array is a subsequence of that arithmetic progression. - Traverse the array using variable
**i**and update the value of**maxCD =****GCD(maxCD, (arr[i + 1] – arr[i]))**. - Finally, print the value of
**maxCD**.

Below is the implementation of the above approach

## C++

`// C++ program to implement` `// the above approach` `#include <bits/stdc++.h>` `using` `namespace` `std;` `// Function to find the maximum common` `// difference of an AP such that arr[]` `// is a subsequence of that AP` `int` `MaxComDiffSubAP(` `int` `arr[], ` `int` `N)` `{` ` ` `// Stores maximum common difference` ` ` `// of an AP with given conditions` ` ` `int` `maxCD = 0;` ` ` `// Traverse the array` ` ` `for` `(` `int` `i = 0; i < N - 1; i++) {` ` ` `// Update maxCD` ` ` `maxCD = __gcd(maxCD,` ` ` `arr[i + 1] - arr[i]);` ` ` `}` ` ` `return` `maxCD;` `}` `// Driver Code` `int` `main()` `{` ` ` `int` `arr[] = { 1, 3, 7, 9 };` ` ` `int` `N = ` `sizeof` `(arr) / ` `sizeof` `(arr[0]);` ` ` `cout << MaxComDiffSubAP(arr, N);` ` ` `return` `0;` `}` |

## Java

`// Java program to implement` `// the above approach ` `class` `GFG` `{` ` ` `// Recursive function to return gcd of a and b` ` ` `static` `int` `gcd(` `int` `a, ` `int` `b)` ` ` `{` ` ` `// Everything divides 0` ` ` `if` `(a == ` `0` `)` ` ` `return` `b;` ` ` `if` `(b == ` `0` `)` ` ` `return` `a;` ` ` `// base case` ` ` `if` `(a == b)` ` ` `return` `a;` ` ` `// a is greater` ` ` `if` `(a > b)` ` ` `return` `gcd(a - b, b);` ` ` `return` `gcd(a, b - a);` ` ` `}` ` ` `// Function to find the maximum common` ` ` `// difference of an AP such that arr[]` ` ` `// is a subsequence of that AP` ` ` `static` `int` `MaxComDiffSubAP(` `int` `arr[], ` `int` `N)` ` ` `{` ` ` ` ` `// Stores maximum common difference` ` ` `// of an AP with given conditions` ` ` `int` `maxCD = ` `0` `;` ` ` `// Traverse the array` ` ` `for` `(` `int` `i = ` `0` `; i < N - ` `1` `; i++)` ` ` `{` ` ` `// Update maxCD` ` ` `maxCD = gcd(maxCD,` ` ` `arr[i + ` `1` `] - arr[i]);` ` ` `}` ` ` `return` `maxCD;` ` ` `}` ` ` `// Driver Code` ` ` `public` `static` `void` `main (String[] args)` ` ` `{` ` ` `int` `arr[] = { ` `1` `, ` `3` `, ` `7` `, ` `9` `};` ` ` `int` `N = arr.length;` ` ` `System.out.print(MaxComDiffSubAP(arr, N));` ` ` `}` `}` `// This code is contributed by AnkThon` |

## Python3

`# Python3 program to implement` `# the above approach` `from` `math ` `import` `gcd` `# Function to find the maximum common` `# difference of an AP such that arr[]` `# is a subsequence of that AP` `def` `MaxComDiffSubAP(arr, N):` ` ` ` ` `# Stores maximum common difference` ` ` `# of an AP with given conditions` ` ` `maxCD ` `=` `0` ` ` `# Traverse the array` ` ` `for` `i ` `in` `range` `(N ` `-` `1` `):` ` ` ` ` `# Update maxCD` ` ` `maxCD ` `=` `gcd(maxCD, arr[i ` `+` `1` `] ` `-` `arr[i])` ` ` `return` `maxCD` `# Driver Code` `if` `__name__ ` `=` `=` `'__main__'` `:` ` ` `arr ` `=` `[ ` `1` `, ` `3` `, ` `7` `, ` `9` `]` ` ` `N ` `=` `len` `(arr)` ` ` ` ` `print` `(MaxComDiffSubAP(arr, N))` `# This code is contributed by mohit kumar 29` |

## C#

`// C# program to implement` `// the above approach ` `using` `System;` `class` `GFG{` ` ` `// Recursive function to return` `// gcd of a and b` `static` `int` `gcd(` `int` `a, ` `int` `b)` `{` ` ` `// Everything divides 0` ` ` `if` `(a == 0)` ` ` `return` `b;` ` ` `if` `(b == 0)` ` ` `return` `a;` ` ` ` ` `// base case` ` ` `if` `(a == b)` ` ` `return` `a;` ` ` ` ` `// a is greater` ` ` `if` `(a > b)` ` ` `return` `gcd(a - b, b);` ` ` ` ` `return` `gcd(a, b - a);` `}` `// Function to find the maximum common` `// difference of an AP such that arr[]` `// is a subsequence of that AP` `static` `int` `MaxComDiffSubAP(` `int` `[] arr, ` `int` `N)` `{` ` ` `// Stores maximum common difference` ` ` `// of an AP with given conditions` ` ` `int` `maxCD = 0;` ` ` ` ` `// Traverse the array` ` ` `for` `(` `int` `i = 0; i < N - 1; i++)` ` ` `{` ` ` ` ` `// Update maxCD` ` ` `maxCD = gcd(maxCD,` ` ` `arr[i + 1] - arr[i]);` ` ` `}` ` ` `return` `maxCD;` `}` `// Driver Code` `public` `static` `void` `Main ()` `{` ` ` `int` `[] arr = { 1, 3, 7, 9 };` ` ` `int` `N = arr.Length;` ` ` ` ` `Console.WriteLine(MaxComDiffSubAP(arr, N));` `}` `}` `// This code is contributed by susmitakundugoaldanga` |

**Output:**

2

**Time Complexity:** O(N)**Auxiliary Space:** O(1)

Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the **DSA Self Paced Course** at a student-friendly price and become industry ready.