## The Levenshtein distance (Edit distance) problem

Edit distance is a way of quantifying how dissimilar two strings are to one another by counting the minimum number of operations required to transform one string into the other.

Coding made easy

Edit distance is a way of quantifying how dissimilar two strings are to one another by counting the minimum number of operations required to transform one string into the other.

The shortest common supersequence (SCS) is the problem of finding the shortest supersequence Z of given sequences X and Y such that both X & Y are subsequences of Z.

The longest repeated subsequence (LRS) problem is the problem of finding the longest subsequences of a string that occurs at least twice.

The Longest Palindromic Subsequence (LPS) problem is the problem of finding the longest subsequences of a string that is also a palindrome.

The longest common substring problem is the problem of finding the longest string (or strings) that is a substring (or are substrings) of two strings.

Given two sequences, print all the possible longest common subsequences present in them.

Write space optimized version of LCS problem.

The longest common subsequence (LCS) problem is the problem of finding the longest subsequence that is present in given two sequences in the same order. i.e. find a 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, efficiently generate binary numbers between 1 to N using queue data structure and in linear time.