Length of longest subsequence consisting of distinct adjacent elements
Last Updated :
21 Jun, 2022
Given an array arr[], the task is to find the length of the longest subsequence of the array arr[] such that all adjacent elements in the subsequence are different.
Examples:
Input: arr[] = {4, 2, 3, 4, 3}
Output: 5
Explanation:
The longest subsequence where no two adjacent elements are equal is {4, 2, 3, 4, 3}. Length of the subsequence is 5.
Input: arr[] = {7, 8, 1, 2, 2, 5, 5, 1}
Output: 6
Explanation: Longest subsequence where no two adjacent elements are equal is {7, 8, 1, 2, 5, 1}. Length of the subsequence is 5.
Naive Approach: The simplest approach is to generate all possible subsequence of the given array and print the maximum length of that subsequence having all adjacent elements different.
Time Complexity: O(2N)
Auxiliary Space: O(1)
Efficient Approach: Follow the steps below to solve the problem:
- Initialize count to 1 to store the length of the longest subsequence.
- Traverse the array over the indices [1, N - 1] and for each element, check if the current element is equal to the previous element or not. If found to be not equal, then increment count by 1.
- After completing the above steps, print the value of count as the maximum possible length of subsequence.
Below is the implementation of the above approach:
C++
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function that finds the length of
// longest subsequence having different
// adjacent elements
void longestSubsequence(int arr[], int N)
{
// Stores the length of the
// longest subsequence
int count = 1;
// Traverse the array
for (int i = 1; i < N; i++) {
// If previous and current
// element are not same
if (arr[i] != arr[i - 1]) {
// Increment the count
count++;
}
}
// Print the maximum length
cout << count << endl;
}
// Driver Code
int main()
{
int arr[] = { 7, 8, 1, 2, 2, 5, 5, 1 };
// Size of Array
int N = sizeof(arr) / sizeof(arr[0]);
// Function Call
longestSubsequence(arr, N);
return 0;
}
Java
// Java program for the
// above approach
import java.util.*;
class GFG{
// Function that finds the length of
// longest subsequence having different
// adjacent elements
static void longestSubsequence(int arr[],
int N)
{
// Stores the length of the
// longest subsequence
int count = 1;
// Traverse the array
for (int i = 1; i < N; i++)
{
// If previous and current
// element are not same
if (arr[i] != arr[i - 1])
{
// Increment the count
count++;
}
}
// Print the maximum length
System.out.println(count);
}
// Driver Code
public static void main(String args[])
{
int arr[] = {7, 8, 1, 2,
2, 5, 5, 1};
// Size of Array
int N = arr.length;
// Function Call
longestSubsequence(arr, N);
}
}
// This code is contributed by bgangwar59
Python3
# Python3 program for the above approach
# Function that finds the length of
# longest subsequence having different
# adjacent elements
def longestSubsequence(arr, N):
# Stores the length of the
# longest subsequence
count = 1
# Traverse the array
for i in range(1, N, 1):
# If previous and current
# element are not same
if (arr[i] != arr[i - 1]):
# Increment the count
count += 1
# Print the maximum length
print(count)
# Driver Code
if __name__ == '__main__':
arr = [ 7, 8, 1, 2, 2, 5, 5, 1 ]
# Size of Array
N = len(arr)
# Function Call
longestSubsequence(arr, N)
# This code is contributed by ipg2016107
C#
// C# program for the
// above approach
using System;
class GFG{
// Function that finds the length of
// longest subsequence having different
// adjacent elements
static void longestSubsequence(int[] arr,
int N)
{
// Stores the length of the
// longest subsequence
int count = 1;
// Traverse the array
for(int i = 1; i < N; i++)
{
// If previous and current
// element are not same
if (arr[i] != arr[i - 1])
{
// Increment the count
count++;
}
}
// Print the maximum length
Console.WriteLine(count);
}
// Driver Code
public static void Main()
{
int[] arr = { 7, 8, 1, 2,
2, 5, 5, 1 };
// Size of Array
int N = arr.Length;
// Function Call
longestSubsequence(arr, N);
}
}
// This code is contributed by susmitakundugoaldanga
JavaScript
<script>
// JavaScript program to implement
// the above approach
// Function that finds the length of
// longest subsequence having different
// adjacent elements
function longestSubsequence(arr, N)
{
// Stores the length of the
// longest subsequence
let count = 1;
// Traverse the array
for (let i = 1; i < N; i++)
{
// If previous and current
// element are not same
if (arr[i] != arr[i - 1])
{
// Increment the count
count++;
}
}
// Print the maximum length
document.write(count);
}
// Driver Code
let arr = [7, 8, 1, 2,
2, 5, 5, 1];
// Size of Array
let N = arr.length;
// Function Call
longestSubsequence(arr, N);
</script>
Time Complexity: O(N)
Auxiliary Space: O(1)
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