Longest subsequence having difference atmost K

Given a string S of length N and an integer K, the task is to find the length of longest sub-sequence such that the difference between the ASCII values of adjacent characters in the subsequence is not more than K.
Examples:
Input: N = 7, K = 2, S = "afcbedg" Output: 4 Explanation: Longest special sequence present in "afcbedg" is a, c, b, d. It is special because |a - c| <= 2, |c - b| <= 2 and | b-d| <= 2 Input: N = 13, K = 3, S = "zambiatek" Output: 7
Naive approach: A brute force solution is to generate all the possible subsequences of various lengths and compute the maximum length of the valid subsequence. The time complexity will be exponential.
Efficient Approach: An efficient approach is to use the concept Dynamic Programming
- Create an array dp of 0’s with size equal to length of string.
 - Create a supporting array max_length with 0’s of size 26.
 - Iterate the string character by character and for each character determine the upper and lower bounds.
 - Iterate nested loop in the range of lower and upper bounds.
 - Fill the dp array with the maximum value between current dp indices and current max_length indices+1.
 - Fill the max_length array with the maximum value between current dp indices and current max_length indices.
 - Longest sub sequence length is the maximum value in dp array.
 - Let us consider an example:
 
input string s is “afcbedg” and k is 2
- for 1st iteration value of i is ‘a’ and range of j is (0, 2)
 
and current dp = [1, 0, 0, 0, 0, 0, 0]- for 2nd iteration value of i is ‘f’ and range of j is (3, 7)
 
and current dp = [1, 1, 0, 0, 0, 0, 0]- for 3rd iteration value of i is ‘c’ and range of j is (0, 4)
 
and current dp = [1, 1, 2, 0, 0, 0, 0]- for 4th iteration value of i is ‘b’ and range of j is (0, 3)
 
and current dp = [1, 1, 2, 3, 0, 0, 0]- for 5th iteration value of i is ‘e’ and range of j is (2, 6)
 
and current dp = [1, 1, 2, 3, 3, 0, 0]- for 6th iteration value of i is ‘d’ and range of j is (1, 5)
 
and current dp = [1, 1, 2, 3, 3, 4, 0]- for 7th iteration value of i is ‘g’ and range of j is (4, 8)
 
and current dp = [1, 1, 2, 3, 3, 4, 4]longest length is the maximum value in dp so maximum length is 4
Below is the implementation of the above approach:
C++
// C++ program for the above approach#include <bits/stdc++.h>using namespace std;// Function to find// the longest Special Sequenceint longest_subseq(int n, int k, string s){    // Creating a list with    // all 0's of size    // equal to the length of string    vector<int> dp(n, 0);    // Supporting list with    // all 0's of size 26 since    // the given string consists    // of only lower case alphabets    int max_length[26] = {0};    for (int i = 0; i < n; i++)     {        // Converting the ascii value to        // list indices        int curr = s[i] - 'a';                 // Determining the lower bound        int lower = max(0, curr - k);                 // Determining the upper bound        int upper = min(25, curr + k);                 // Filling the dp array with values        for (int j = lower; j < upper + 1; j++)        {            dp[i] = max(dp[i], max_length[j] + 1);        }        //Filling the max_length array with max        //length of subsequence till now        max_length[curr] = max(dp[i], max_length[curr]);    }    int ans = 0;    for(int i:dp) ans = max(i, ans);    // return the max length of subsequence    return ans;}// Driver Codeint main(){    string s = "zambiatek";    int n = s.size();    int k = 3;    cout << (longest_subseq(n, k, s));    return 0;}// This code is contributed by Mohit Kumar | 
Java
// Java program for the above approachclass GFG{// Function to find// the longest Special Sequencestatic int longest_subseq(int n, int k, String s){    // Creating a list with    // all 0's of size    // equal to the length of String    int []dp = new int[n];    // Supporting list with    // all 0's of size 26 since    // the given String consists    // of only lower case alphabets    int []max_length = new int[26];    for (int i = 0; i < n; i++)     {        // Converting the ascii value to        // list indices        int curr = s.charAt(i) - 'a';                 // Determining the lower bound        int lower = Math.max(0, curr - k);                 // Determining the upper bound        int upper = Math.min(25, curr + k);                 // Filling the dp array with values        for (int j = lower; j < upper + 1; j++)        {            dp[i] = Math.max(dp[i], max_length[j] + 1);        }                 // Filling the max_length array with max        // length of subsequence till now        max_length[curr] = Math.max(dp[i], max_length[curr]);    }    int ans = 0;    for(int i:dp) ans = Math.max(i, ans);    // return the max length of subsequence    return ans;}// Driver Codepublic static void main(String[] args){    String s = "zambiatek";    int n = s.length();    int k = 3;    System.out.print(longest_subseq(n, k, s));}}// This code is contributed by 29AjayKumar | 
Python3
# Function to find # the longest Special Sequencedef longest_subseq(n, k, s):       # Creating a list with     # all 0's of size    # equal to the length of string    dp = [0] * n         # Supporting list with     # all 0's of size 26 since     # the given string consists     # of only lower case alphabets    max_length = [0] * 26    for i in range(n):        # Converting the ascii value to        # list indices        curr = ord(s[i]) - ord('a')        # Determining the lower bound        lower = max(0, curr - k)        # Determining the upper bound        upper = min(25, curr + k)        # Filling the dp array with values        for j in range(lower, upper + 1):            dp[i] = max(dp[i], max_length[j]+1)        # Filling the max_length array with max        # length of subsequence till now        max_length[curr] = max(dp[i], max_length[curr])    # return the max length of subsequence    return max(dp)# driver codedef main():  s = "zambiatek"  n = len(s)  k = 3  print(longest_subseq(n, k, s))main() | 
C#
// C# program for the above approachusing System;class GFG{// Function to find// the longest Special Sequencestatic int longest_subseq(int n, int k, String s){    // Creating a list with    // all 0's of size    // equal to the length of String    int []dp = new int[n];    // Supporting list with    // all 0's of size 26 since    // the given String consists    // of only lower case alphabets    int []max_length = new int[26];    for (int i = 0; i < n; i++)     {        // Converting the ascii value to        // list indices        int curr = s[i] - 'a';                 // Determining the lower bound        int lower = Math.Max(0, curr - k);                 // Determining the upper bound        int upper = Math.Min(25, curr + k);                 // Filling the dp array with values        for (int j = lower; j < upper + 1; j++)        {            dp[i] = Math.Max(dp[i], max_length[j] + 1);        }                 // Filling the max_length array with max        // length of subsequence till now        max_length[curr] = Math.Max(dp[i], max_length[curr]);    }    int ans = 0;    foreach(int i in dp) ans = Math.Max(i, ans);    // return the max length of subsequence    return ans;}// Driver Codepublic static void Main(String[] args){    String s = "zambiatek";    int n = s.Length;    int k = 3;    Console.Write(longest_subseq(n, k, s));}}// This code is contributed by Rajput-Ji | 
Javascript
<script>// Javascript program for the above approach// Function to find// the longest Special Sequencefunction longest_subseq(n, k, s){    // Creating a list with    // all 0's of size    // equal to the length of String    let dp = new Array(n);       // Supporting list with    // all 0's of size 26 since    // the given String consists    // of only lower case alphabets    let max_length = new Array(26);           for(let i = 0; i < 26; i++)    {        max_length[i] = 0;        dp[i] = 0;    }    for (let i = 0; i < n; i++)     {           // Converting the ascii value to        // list indices        let curr = s[i].charCodeAt(0) - 'a'.charCodeAt(0);                   // Determining the lower bound        let lower = Math.max(0, curr - k);                   // Determining the upper bound        let upper = Math.min(25, curr + k);                   // Filling the dp array with values        for (let j = lower; j < upper + 1; j++)        {            dp[i] = Math.max(dp[i], max_length[j] + 1);        }                   // Filling the max_length array with max        // length of subsequence till now        max_length[curr] = Math.max(dp[i], max_length[curr]);    }       let ans = 0;    ans = Math.max(...dp)       // return the max length of subsequence    return ans;}// Driver Codelet s = "zambiatek";let n = s.length;let k = 3;document.write(longest_subseq(n, k, s));// This code is contributed by unknown2108</script> | 
Output: 
7
Time Complexity: O(N)
Auxiliary Space: O(N)
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