Longest common subsequence with permutations allowed Last Updated : 05 Jul, 2022 Comments Improve Suggest changes Like Article Like Report Given two strings in lowercase, find the longest string whose permutations are subsequences of given two strings. The output longest string must be sorted. Examples: Input : str1 = "pink", str2 = "kite" Output : "ik" The string "ik" is the longest sorted string whose one permutation "ik" is subsequence of "pink" and another permutation "ki" is subsequence of "kite". Input : str1 = "working", str2 = "women" Output : "now" Input : str1 = "geeks" , str2 = "cake" Output : "ek" Input : str1 = "aaaa" , str2 = "baba" Output : "aa"Recommended: Please solve it on "PRACTICE" first, before moving on to the solution. The idea is to count characters in both strings. calculate frequency of characters for each string and store them in their respective count arrays, say count1[] for str1 and count2[] for str2.Now we have count arrays for 26 characters. So traverse count1[] and for any index 'i' append character ('a'+i) in resultant string 'result' by min(count1[i], count2[i]) times.Since we traverse count array in ascending order, our final string characters will be in sorted order. Implementation: C++ // C++ program to find LCS with permutations allowed #include<bits/stdc++.h> using namespace std; // Function to calculate longest string // str1 --> first string // str2 --> second string // count1[] --> hash array to calculate frequency // of characters in str1 // count[2] --> hash array to calculate frequency // of characters in str2 // result --> resultant longest string whose // permutations are sub-sequence of given two strings void longestString(string str1, string str2) { int count1[26] = {0}, count2[26]= {0}; // calculate frequency of characters for (int i=0; i<str1.length(); i++) count1[str1[i]-'a']++; for (int i=0; i<str2.length(); i++) count2[str2[i]-'a']++; // Now traverse hash array string result; for (int i=0; i<26; i++) // append character ('a'+i) in resultant // string 'result' by min(count1[i],count2i]) // times for (int j=1; j<=min(count1[i],count2[i]); j++) result.push_back('a' + i); cout << result; } // Driver program to run the case int main() { string str1 = "geeks", str2 = "cake"; longestString(str1, str2); return 0; } Java //Java program to find LCS with permutations allowed class GFG { // Function to calculate longest String // str1 --> first String // str2 --> second String // count1[] --> hash array to calculate frequency // of characters in str1 // count[2] --> hash array to calculate frequency // of characters in str2 // result --> resultant longest String whose // permutations are sub-sequence of given two strings static void longestString(String str1, String str2) { int count1[] = new int[26], count2[] = new int[26]; // calculate frequency of characters for (int i = 0; i < str1.length(); i++) { count1[str1.charAt(i) - 'a']++; } for (int i = 0; i < str2.length(); i++) { count2[str2.charAt(i) - 'a']++; } // Now traverse hash array String result = ""; for (int i = 0; i < 26; i++) // append character ('a'+i) in resultant // String 'result' by min(count1[i],count2i]) // times { for (int j = 1; j <= Math.min(count1[i], count2[i]); j++) { result += (char)('a' + i); } } System.out.println(result); } // Driver program to run the case public static void main(String[] args) { String str1 = "geeks", str2 = "cake"; longestString(str1, str2); } } /* This java code is contributed by 29AjayKumar*/ Python3 # Python 3 program to find LCS # with permutations allowed # Function to calculate longest string # str1 --> first string # str2 --> second string # count1[] --> hash array to calculate frequency # of characters in str1 # count[2] --> hash array to calculate frequency # of characters in str2 # result --> resultant longest string whose # permutations are sub-sequence # of given two strings def longestString(str1, str2): count1 = [0] * 26 count2 = [0] * 26 # calculate frequency of characters for i in range( len(str1)): count1[ord(str1[i]) - ord('a')] += 1 for i in range(len(str2)): count2[ord(str2[i]) - ord('a')] += 1 # Now traverse hash array result = "" for i in range(26): # append character ('a'+i) in # resultant string 'result' by # min(count1[i],count2i]) times for j in range(1, min(count1[i], count2[i]) + 1): result = result + chr(ord('a') + i) print(result) # Driver Code if __name__ == "__main__": str1 = "geeks" str2 = "cake" longestString(str1, str2) # This code is contributed by ita_c C# // C# program to find LCS with // permutations allowed using System; class GFG { // Function to calculate longest String // str1 --> first String // str2 --> second String // count1[] --> hash array to calculate // frequency of characters in str1 // count[2] --> hash array to calculate // frequency of characters in str2 // result --> resultant longest String whose // permutations are sub-sequence of // given two strings static void longestString(String str1, String str2) { int []count1 = new int[26]; int []count2 = new int[26]; // calculate frequency of characters for (int i = 0; i < str1.Length; i++) { count1[str1[i] - 'a']++; } for (int i = 0; i < str2.Length; i++) { count2[str2[i] - 'a']++; } // Now traverse hash array String result = ""; for (int i = 0; i < 26; i++) // append character ('a'+i) in resultant // String 'result' by min(count1[i],count2i]) // times { for (int j = 1; j <= Math.Min(count1[i], count2[i]); j++) { result += (char)('a' + i); } } Console.Write(result); } // Driver Code public static void Main() { String str1 = "geeks", str2 = "cake"; longestString(str1, str2); } } // This code is contributed // by PrinciRaj1992 PHP <?php // PHP program to find LCS with // permutations allowed // Function to calculate longest string // str1 --> first string // str2 --> second string // count1[] --> hash array to calculate frequency // of characters in str1 // count[2] --> hash array to calculate frequency // of characters in str2 // result --> resultant longest string whose // permutations are sub-sequence of given two strings function longestString($str1, $str2) { $count1 = array_fill(0, 26, NULL); $count2 = array_fill(0, 26, NULL); // calculate frequency of characters for ($i = 0; $i < strlen($str1); $i++) $count1[ord($str1[$i]) - ord('a')]++; for ($i = 0; $i < strlen($str2); $i++) $count2[ord($str2[$i]) - ord('a')]++; // Now traverse hash array $result = ""; for ($i = 0; $i < 26; $i++) // append character ('a'+i) in resultant // string 'result' by min(count1[$i], // count2[$i]) times for ($j = 1; $j <= min($count1[$i], $count2[$i]); $j++) $result = $result.chr(ord('a') + $i); echo $result; } // Driver Code $str1 = "geeks"; $str2 = "cake"; longestString($str1, $str2); // This code is contributed by ita_c ?> JavaScript <script> // Javascript program to find LCS with permutations allowed function min(a, b) { if(a < b) return a; else return b; } // Function to calculate longest String // str1 --> first String // str2 --> second String // count1[] --> hash array to calculate frequency // of characters in str1 // count[2] --> hash array to calculate frequency // of characters in str2 // result --> resultant longest String whose // permutations are sub-sequence of given two strings function longestString( str1, str2) { var count1 = new Array(26); var count2 = new Array(26); count1.fill(0); count2.fill(0); // calculate frequency of characters for (var i = 0; i < str1.length; i++) { count1[str1.charCodeAt(i) -97]++; } for (var i = 0; i < str2.length; i++) { count2[str2.charCodeAt(i) - 97]++; } // Now traverse hash array var result = ""; for (var i = 0; i < 26; i++) // append character ('a'+i) in resultant // String 'result' by min(count1[i],count2i]) // times { for (var j = 1; j <= min(count1[i], count2[i]); j++) { result += String.fromCharCode(97 + i); } } document.write(result); } var str1 = "geeks"; var str2 = "cake"; longestString(str1, str2); // This code is contributed by akshitsaxenaa09. </script> Outputek Time Complexity: O(m + n), where m and n are lengths of input strings.Auxiliary Space: O(1) If you have another approach to solve this problem then please share. 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. To complete your preparation from learning a language to DS Algo and many more, please refer Complete Interview Preparation Course. In case you wish to attend live classes with experts, please refer DSA Live Classes for Working Professionals and Competitive Programming Live for Students. Comment More infoAdvertise with us Next Article Longest subsequence such that adjacent elements have at least one common digit S Shashank Mishra ( Gullu ) Improve Article Tags : Strings Hash DSA Practice Tags : HashStrings Similar Reads Longest Common Subsequence (LCS) Given two strings, s1 and s2, the task is to find the length of the Longest Common Subsequence. If there is no common subsequence, return 0. 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So 3 min read Problems on LCSEdit distance and LCS (Longest Common Subsequence)In standard Edit Distance where we are allowed 3 operations, insert, delete, and replace. Consider a variation of edit distance where we are allowed only two operations insert and delete, find edit distance in this variation. Examples: Input : str1 = "cat", st2 = "cut"Output : 2We are allowed to ins 6 min read Length of longest common subsequence containing vowelsGiven two strings X and Y of length m and n respectively. 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Examples: Input : P = { 8, 3 } Q = { 1, 3 } K = 1 Output : 2 If we change first element of first sequence from 8 to 1, 8 min read Minimum cost to make Longest Common Subsequence of length kGiven two string X, Y and an integer k. Now the task is to convert string X with the minimum cost such that the Longest Common Subsequence of X and Y after conversion is of length k. The cost of conversion is calculated as XOR of old character value and new character value. The character value of 'a 14 min read Longest Common SubstringGiven two strings 's1' and 's2', find the length of the longest common substring. Example: Input: s1 = "GeeksforGeeks", s2 = "GeeksQuiz" Output : 5 Explanation:The longest common substring is "Geeks" and is of length 5.Input: s1 = "abcdxyz", s2 = "xyzabcd" Output : 4Explanation:The longest common su 15+ min read Longest Common Subsequence of two arrays out of which one array consists of distinct elements onlyGiven two arrays firstArr[], consisting of distinct elements only, and secondArr[], the task is to find the length of LCS between these 2 arrays. Examples: Input: firstArr[] = {3, 5, 1, 8}, secondArr[] = {3, 3, 5, 3, 8}Output: 3.Explanation: LCS between these two arrays is {3, 5, 8}. Input : firstAr 7 min read Longest Repeating SubsequenceGiven a string s, the task is to find the length of the longest repeating subsequence, such that the two subsequences don't have the same string character at the same position, i.e. any ith character in the two subsequences shouldn't have the same index in the original string. Examples:Input: s= "ab 15+ min read Longest Common Anagram SubsequenceGiven two strings str1 and str2 of length n1 and n2 respectively. The problem is to find the length of the longest subsequence which is present in both the strings in the form of anagrams. Note: The strings contain only lowercase letters. Examples: Input : str1 = "abdacp", str2 = "ckamb" Output : 3 7 min read Length of Longest Common Subsequence with given sum KGiven two arrays a[] and b[] and an integer K, the task is to find the length of the longest common subsequence such that sum of elements is equal to K. Examples: Input: a[] = { 9, 11, 2, 1, 6, 2, 7}, b[] = {1, 2, 6, 9, 2, 3, 11, 7}, K = 18Output: 3Explanation: Subsequence { 11, 7 } and { 9, 2, 7 } 15+ min read Longest Common Subsequence with no repeating characterGiven two strings s1 and s2, the task is to find the length of the longest common subsequence with no repeating character. Examples: Input: s1= "aabbcc", s2= "aabc"Output: 3Explanation: "aabc" is longest common subsequence but it has two repeating character 'a'.So the required longest common subsequ 10 min read Find the Longest Common Subsequence (LCS) in given K permutationsGiven K permutations of numbers from 1 to N in a 2D array arr[][]. The task is to find the longest common subsequence of these K permutations. Examples: Input: N = 4, K = 3arr[][] = {{1, 4, 2, 3}, {4, 1, 2, 3}, {1, 2, 4, 3}}Output: 3Explanation: Longest common subsequence is {1, 2, 3} which has leng 10 min read Find length of longest subsequence of one string which is substring of another stringGiven two strings X and Y. The task is to find the length of the longest subsequence of string X which is a substring in sequence Y.Examples: Input : X = "ABCD", Y = "BACDBDCD"Output : 3Explanation: "ACD" is longest subsequence of X which is substring of Y.Input : X = "A", Y = "A"Output : 1Perquisit 15+ min read Length of longest common prime subsequence from two given arraysGiven two arrays arr1[] and arr2[] of length N and M respectively, the task is to find the length of the longest common prime subsequence that can be obtained from the two given arrays. Examples: Input: arr1[] = {1, 2, 3, 4, 5, 6, 7, 8, 9}, arr2[] = {2, 5, 6, 3, 7, 9, 8} Output: 4 Explanation: The l 11 min read A Space Optimized Solution of LCSGiven two strings, s1 and s2, the task is to find the length of the Longest Common Subsequence. If there is no common subsequence, return 0.Examples:Input: s1 = âABCDGHâ, s2 = âAEDFHRâOutput: 3Explanation: The longest subsequence present in both strings is "ADH".Input: s1 = âAGGTABâ, s2 = âGXTXAYBâO 13 min read Longest common subarray in the given two arraysGiven two arrays A[] and B[] of N and M integers respectively, the task is to find the maximum length of an equal subarray or the longest common subarray between the two given array. Examples: Input: A[] = {1, 2, 8, 2, 1}, B[] = {8, 2, 1, 4, 7} Output: 3 Explanation: The subarray that is common to b 15+ min read Number of ways to insert a character to increase the LCS by oneGiven two strings A and B. The task is to count the number of ways to insert a character in string A to increase the length of the Longest Common Subsequence between string A and string B by 1. Examples: Input : A = "aa", B = "baaa" Output : 4 The longest common subsequence shared by string A and st 11 min read Longest common subsequence with permutations allowedGiven two strings in lowercase, find the longest string whose permutations are subsequences of given two strings. The output longest string must be sorted. Examples: Input : str1 = "pink", str2 = "kite" Output : "ik" The string "ik" is the longest sorted string whose one permutation "ik" is subseque 7 min read Longest subsequence such that adjacent elements have at least one common digitGiven an array arr[], the task is to find the length of the longest sub-sequence such that adjacent elements of the subsequence have at least one digit in common.Examples: Input: arr[] = [1, 12, 44, 29, 33, 96, 89] Output: 5 Explanation: The longest sub-sequence is [1 12 29 96 89]Input: arr[] = [12, 15+ min read Longest subsequence with different adjacent charactersGiven string str. The task is to find the longest subsequence of str such that all the characters adjacent to each other in the subsequence are different. Examples:  Input: str = "ababa" Output: 5 Explanation: "ababa" is the subsequence satisfying the condition Input: str = "xxxxy" Output: 2 Explan 14 min read Longest subsequence such that difference between adjacents is oneGiven an array arr[] of size n, the task is to find the longest subsequence such that the absolute difference between adjacent elements is 1.Examples: Input: arr[] = [10, 9, 4, 5, 4, 8, 6]Output: 3Explanation: The three possible subsequences of length 3 are [10, 9, 8], [4, 5, 4], and [4, 5, 6], wher 15+ min read Longest Uncommon SubsequenceGiven two strings, find the length of longest uncommon subsequence of the two strings. The longest uncommon subsequence is defined as the longest subsequence of one of these strings which is not a subsequence of other strings. Examples: Input : "abcd", "abc"Output : 4The longest subsequence is 4 bec 12 min read LCS formed by consecutive segments of at least length KGiven two strings s1, s2 and K, find the length of the longest subsequence formed by consecutive segments of at least length K. Examples: Input : s1 = aggayxysdfa s2 = aggajxaaasdfa k = 4 Output : 8 Explanation: aggasdfa is the longest subsequence that can be formed by taking consecutive segments, m 9 min read Longest Increasing Subsequence using Longest Common Subsequence AlgorithmGiven an array arr[] of N integers, the task is to find and print the Longest Increasing Subsequence.Examples: Input: arr[] = {12, 34, 1, 5, 40, 80} Output: 4 {12, 34, 40, 80} and {1, 5, 40, 80} are the longest increasing subsequences.Input: arr[] = {10, 22, 9, 33, 21, 50, 41, 60, 80} Output: 6 Prer 12 min read Like