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@dxzmpk/js-algorithms-data-structures

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Algorithms and data-structures implemented on JavaScript

github.com/dxzmpk/javascript-algorithms

dxzmpk/javascript-algorithms

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# Longest common subsequence problem The longest common subsequence (LCS) problem is the problem of finding the longest subsequence common to all sequences in a set of sequences (often just two sequences). It differs from the longest common substring problem: unlike substrings, subsequences are not required to occupy consecutive positions within the original sequences. ## Application The longest common subsequence problem is a classic computer science problem, the basis of data comparison programs such as the diff utility, and has applications in bioinformatics. It is also widely used by revision control systems such as Git for reconciling multiple changes made to a revision-controlled collection of files. ## Example - LCS for input Sequences `ABCDGH` and `AEDFHR` is `ADH` of length 3. - LCS for input Sequences `AGGTAB` and `GXTXAYB` is `GTAB` of length 4. ## References - [Wikipedia](https://en.wikipedia.org/wiki/Longest_common_subsequence_problem) - [YouTube](https://www.youtube.com/watch?v=NnD96abizww&list=PLLXdhg_r2hKA7DPDsunoDZ-Z769jWn4R8)