Given an array arr[] of N elements. The task is to find the number of sub-sequences which have at least two consecutive elements such that absolute difference between them is ? 1.
Examples:
Input: arr[] = {1, 6, 2, 1}
Output: 6
{1, 2}, {1, 2, 1}, {2, 1}, {6, 2, 1}, {1, 1} and {1, 6, 2, 1}
are the sub-sequences that have at least one consecutive pair
with difference less than or equal to 1.Input: arr[] = {1, 6, 2, 1, 9}
Output: 12
Naive approach: The idea is to find all the possible sub-sequences and check if there exists a sub-sequence with any consecutive pair with difference ?1 and increase the count.
Efficient approach: The idea is to iterate over the given array and for each ith-element, try to find the required sub-sequence ending with ith element as its last element.
For every i, we want to use arr[i], arr[i] -1, arr[i] + 1, so we will define 2D array, dp[][], where dp[i][0] will contain the number of sub sequence that do not have any consecutive pair with difference less than 1 and dp[i][1] contain the number of sub sequence having any consecutive pair with difference ?1.
Also, we will maintain two variables required_subsequence and not_required_subsdequence to maintain the count of subsequences which have at least one consecutive element with difference ?1 and count of sub-sequences which do not contain any consecutive element pair with difference ?1.
Now, considering the sub-array arr[1] …. arr[i], we will perform the following steps:
- Compute the number of sub sequences which do not have any consecutive pair with difference less than 1 but will have by adding the ith element in the sub sequence. These are basically sum of dp[arr[i] + 1][0], dp[arr[i] – 1][0] and dp[arr[i]][0].
- Total number of subsequences have at least one consecutive pair with difference at least 1 and ending at i is equal to total sub-sequences found till i (just append arr[i] at the last) + subsequences which turns into subsequence have at least consecutive pair with difference less than 1 on adding arr[i].
- Total subsequence which do not have any consecutive pair with difference less than 1 and ending at i = total sub-sequence which do not have any consecutive pair with difference less than 1 before i + 1 (just the current element as a subsequence).
- Update required_sub-sequence, not_required_subsequence and dp[arr[i][0]] and the final answer will be required_subsequence.
Below is the implementation of the above approach:
C++
// C++ implementation of the approach #include <bits/stdc++.h> using namespace std; const int N = 10000; // Function to return the number of subsequences // which have at least one consecutive pair // with difference less than or equal to 1 int count_required_sequence( int n, int arr[]) { int total_required_subsequence = 0; int total_n_required_subsequence = 0; int dp[N][2]; for ( int i = 0; i < n; i++) { // Not required sub-sequences which // turn required on adding i int turn_required = 0; for ( int j = -1; j <= 1; j++) turn_required += dp[arr[i] + j][0]; // Required sub-sequence till now will be // required sequence plus sub-sequence // which turns required int required_end_i = (total_required_subsequence + turn_required); // Similarly for not required int n_required_end_i = (1 + total_n_required_subsequence - turn_required); // Also updating total required and // not required sub-sequences total_required_subsequence += required_end_i; total_n_required_subsequence += n_required_end_i; // Also, storing values in dp dp[arr[i]][1] += required_end_i; dp[arr[i]][0] += n_required_end_i; } return total_required_subsequence; } // Driver code int main() { int arr[] = { 1, 6, 2, 1, 9 }; int n = sizeof (arr) / sizeof ( int ); cout << count_required_sequence(n, arr) << "\n" ; return 0; } |
Java
// Java implementation of above approach public class GFG { static int N = 10000 ; // Function to return the number of subsequences // which have at least one consecutive pair // with difference less than or equal to 1 static int count_required_sequence( int n, int arr[]) { int total_required_subsequence = 0 ; int total_n_required_subsequence = 0 ; int [][]dp = new int [N][ 2 ]; for ( int i = 0 ; i < n; i++) { // Not required sub-sequences which // turn required on adding i int turn_required = 0 ; for ( int j = - 1 ; j <= 1 ; j++) turn_required += dp[arr[i] + j][ 0 ]; // Required sub-sequence till now will be // required sequence plus sub-sequence // which turns required int required_end_i = (total_required_subsequence + turn_required); // Similarly for not required int n_required_end_i = ( 1 + total_n_required_subsequence - turn_required); // Also updating total required and // not required sub-sequences total_required_subsequence += required_end_i; total_n_required_subsequence += n_required_end_i; // Also, storing values in dp dp[arr[i]][ 1 ] += required_end_i; dp[arr[i]][ 0 ] += n_required_end_i; } return total_required_subsequence; } // Driver code public static void main(String[] args) { int arr[] = { 1 , 6 , 2 , 1 , 9 }; int n = arr.length; System.out.println(count_required_sequence(n, arr)); } } // This code has been contributed by 29AjayKumar |
Python3
# Python3 implementation of the approach import numpy as np; N = 10000 ; # Function to return the number of subsequences # which have at least one consecutive pair # with difference less than or equal to 1 def count_required_sequence(n, arr) : total_required_subsequence = 0 ; total_n_required_subsequence = 0 ; dp = np.zeros((N, 2 )); for i in range (n) : # Not required sub-sequences which # turn required on adding i turn_required = 0 ; for j in range ( - 1 , 2 , 1 ) : turn_required + = dp[arr[i] + j][ 0 ]; # Required sub-sequence till now will be # required sequence plus sub-sequence # which turns required required_end_i = (total_required_subsequence + turn_required); # Similarly for not required n_required_end_i = ( 1 + total_n_required_subsequence - turn_required); # Also updating total required and # not required sub-sequences total_required_subsequence + = required_end_i; total_n_required_subsequence + = n_required_end_i; # Also, storing values in dp dp[arr[i]][ 1 ] + = required_end_i; dp[arr[i]][ 0 ] + = n_required_end_i; return total_required_subsequence; # Driver code if __name__ = = "__main__" : arr = [ 1 , 6 , 2 , 1 , 9 ]; n = len (arr); print (count_required_sequence(n, arr)) ; # This code is contributed by AnkitRai01 |
C#
using System; public class GFG{ static int N = 10000; // Function to return the number of subsequences // which have at least one consecutive pair // with difference less than or equal to 1 static int count_required_sequence( int n, int [] arr) { int total_required_subsequence = 0; int total_n_required_subsequence = 0; int [,]dp = new int [N,2]; for ( int i = 0; i < n; i++) { // Not required sub-sequences which // turn required on adding i int turn_required = 0; for ( int j = -1; j <= 1; j++) turn_required += dp[arr[i] + j,0]; // Required sub-sequence till now will be // required sequence plus sub-sequence // which turns required int required_end_i = (total_required_subsequence + turn_required); // Similarly for not required int n_required_end_i = (1 + total_n_required_subsequence - turn_required); // Also updating total required and // not required sub-sequences total_required_subsequence += required_end_i; total_n_required_subsequence += n_required_end_i; // Also, storing values in dp dp[arr[i],1] += required_end_i; dp[arr[i],0] += n_required_end_i; } return total_required_subsequence; } // Driver code static public void Main () { int [] arr = { 1, 6, 2, 1, 9 }; int n = arr.Length; Console.WriteLine(count_required_sequence(n, arr)); } } // This code is contributed by rag2127. |
Javascript
<script> // Javascript implementation of the approach var N = 10000; // Function to return the number of subsequences // which have at least one consecutive pair // with difference less than or equal to 1 function count_required_sequence(n, arr) { var total_required_subsequence = 0; var total_n_required_subsequence = 0; var dp = Array.from(Array(N), ()=> Array(2).fill(0)); for ( var i = 0; i < n; i++) { // Not required sub-sequences which // turn required on adding i var turn_required = 0; for ( var j = -1; j <= 1; j++) turn_required += dp[arr[i] + j][0]; // Required sub-sequence till now will be // required sequence plus sub-sequence // which turns required var required_end_i = (total_required_subsequence + turn_required); // Similarly for not required var n_required_end_i = (1 + total_n_required_subsequence - turn_required); // Also updating total required and // not required sub-sequences total_required_subsequence += required_end_i; total_n_required_subsequence += n_required_end_i; // Also, storing values in dp dp[arr[i]][1] += required_end_i; dp[arr[i]][0] += n_required_end_i; } return total_required_subsequence; } // Driver code var arr = [ 1, 6, 2, 1, 9 ]; var n = arr.length; document.write( count_required_sequence(n, arr) + "<br>" ); </script> |
12
Time Complexity: O(N), where N represents the size of the given array.
Auxiliary Space: O(N), where N represents the size of the given array.
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