Hardness and algorithmic results for the approximate cover problem
Alexandru Popa, Andrei Tanasescu

TL;DR
This paper advances the understanding of the approximate string cover problem by providing approximation algorithms, fixed-parameter tractability results, and complexity analyses for various metrics, including pseudometrics.
Contribution
It introduces a new approximation algorithm with ratio √OPT, an FPT algorithm for small alphabets, and explores the problem's complexity under pseudometrics.
Findings
Approximation algorithm with ratio √OPT.
FPT algorithm with respect to alphabet size.
Complexity analysis for pseudometrics and equivalence of Hamming distance over unbounded and fixed alphabets.
Abstract
In CPM 2017, Amir et al. introduce a problem, named \emph{approximate string cover} (\textbf{ACP}), motivated by many aplications including coding and automata theory, formal language theory, combinatorics and molecular biology. A \emph{cover} of a string is a string for which every letter of lies within some occurrence of . The input of the \textbf{ACP} problem consists of a string and an integer (less than the length of ), and the goal is to find a string of length that covers a string which is as close to as possible (under some predefined distance). Amir et al. study the problem for the Hamming distance. In this paper we continue the work of Amir et al. and show the following results: We show an approximation algorithm for the \textbf{ACP} with an approximation ratio of , where OPT is the size of the optimal solution. We…
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Taxonomy
TopicsAlgorithms and Data Compression · semigroups and automata theory · DNA and Biological Computing
