Let’s take a look at the implementation of the algorithm: algorithm Backtrack(S, index, cur_subsequence, subsequences_set): // INPUT // S = the given string // index = the current position in the given string S // cur_subsequence = the current subsequence generated so far // subseque...
Lee, Finding a longest common subsequence between a run-length-encoded string and an uncompressed string, Journal of Complexity 24 (2) (2008) 173-184.Finding a longest common subsequence between a run-length-encoded string and an uncompressed string - Liu, Wang, et al....
It is therefore a pleasant surprise to learn of a family of techniques called locality-sensitive hashing, or LSH, that allows us to focus on pairs that are likely to be similar, without having to look at all pairs. Thus, it is possible that we can avoid the quadratic growth in computatio...
Creating a DP matrix in which ith cell representithugly number. Start filling the dp matrix fromi = 2. Uglynumber(i) = minimum of (2*ugly number(f2), 3*ugly number(f3), 5*ugly number(f5)). Finding the answer using above relation and storing it atithindex. ...
Given a grammar compressed string S, a pattern P, and d≥0, we consider the problem of finding all occurrences of P′ in S such that d(P,P′)≤d with respect to Hamming distance. We propose an algorithm for this problem in O(lglgnlg∗N(m+d occdlgmdlgN)) ...
Longest common subsequence problemHybrid metaheuristicA* searchBeam searchAnytime column searchThe Longest Common Subsequence (LCS) problem aims at finding a longest string that is a subsequence of each string from a given set of input strings. This problem has applications, in particular, in the ...
Longest common subsequence problemHybrid metaheuristicA* searchBeam searchAnytime column searchThe Longest Common Subsequence (LCS) problem aims at finding a longest string that is a subsequence of each string from a given set of input strings. This problem has applications, in particular, in the ...
The process of finding the longest common subsequence of two DNA sequences has a wide range of applications in modern bioinformatics. Genetics databases can hold enormous amounts of raw data, for example the human genome consists of approximately three billion DNA base pairs. The processing of ...
String algorithmLongest common palindromic subsequenceRecently, Chowdhury et al. [5] proposed the longest common palindromic subsequence problem. It is a variant of the well-known LCS problem, which refers to finding a palindromic LCS between two strings T-1 and T-2. In this paper, we present...
and consistent sequences over a binary alphabet - Middendrof - 1995 () Citation Context ...nary alphabet [29, 33]; (2)snding a sequence which is a common subsequence /supersequence of a set of positive examples but not a subsequence/supersequence of any string in a set of negative examp...