The Levenshtein distance (Edit distance) Problem
Edit distance is a way of quantifying how different two strings are from one another by counting the minimum number of operations required to transform one string into the other.
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Get StartedEdit distance is a way of quantifying how different two strings are from one another by counting the minimum number of operations required to transform one string into the other.
Find a subsequence of a given sequence such that the subsequence sum is as high as possible and the subsequence’s elements are in sorted order, from lowest to highest. This subsequence is not necessarily contiguous or unique.
The longest increasing subsequence problem is to find a subsequence of a given sequence in which the subsequence’s elements are in sorted order, lowest to highest, and in which the subsequence is as long as possible. This subsequence is not necessarily contiguous or unique.
The Shortest Common Supersequence (SCS) is finding the shortest supersequence Z of given sequences X and Y such that both X and Y are subsequences of Z.
The Shortest Common Supersequence (SCS) is finding the shortest supersequence Z of given sequences X and Y such that both X and Y are subsequences of Z.
The Shortest Common Supersequence (SCS) is finding the shortest supersequence Z of given sequences X and Y such that both X and Y are subsequences of Z.
The Longest Repeating Subsequence (LRS) problem is finding the longest subsequences of a string that occurs at least twice.
The Longest Palindromic Subsequence (LPS) problem is finding the longest subsequences of a string that is also a palindrome.
Given two sequences, print all the possible longest common subsequences present in them.
The Longest Common Subsequence (LCS) problem is finding the longest subsequence present in given two sequences in the same order, i.e., find the longest sequence which can be obtained from the first original sequence by deleting some items and from the second original sequence by deleting other items.
Given a string, find all combinations of non-overlapping substrings of it. The solution should use parenthesis to split the string into non-overlapping substrings.
Given a positive number n, find all strings of length n containing balanced parentheses.