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
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Longest Common Subsequence DP-4. We have discussed Overlapping Subproblems and Optimal Substructure properties in Set 1 and Set 2 respectively. We also discussed one example problem in Set 3. Let us discuss Longest Common Subsequence (LCS) problem as one more example problem that can be solved using Dynamic Programming. LCS Problem Statement: Given two sequences, find the length of longest subsequence present in both of them. For example, abc, abg, bdf, aeg, ‘ acefg,.
Longest increasing subsequence. This subsequence is not necessarily contiguous, or unique.
Trivially, any string is a subsequence of itself and an empty string is a subsequence of any string. The input will be a list of strings, and the output needs to be the length of the longest uncommon subsequence
|12 FON 3||Subsequence||Subsequence Pt. 2 (12")||Fonatic Records||12 FON 3||Netherlands||2002|
|12 FON 3||Subsequence||Subsequence Pt. 2 (12", W/Lbl, Sti)||Fonatic Records||12 FON 3||Netherlands||2002|