Parameterized Complexity of Two-Interval Pattern Problem
Abstract
A \emph{2-interval} is the union of two disjoint intervals on the real line. Two 2-intervals and are \emph{disjoint} if their intersection is empty (i.e., no interval of intersects any interval of ). There can be three different relations between two disjoint 2-intervals; namely, preceding (), nested () and crossing (). Two 2-intervals and are called \emph{-comparable} for some , if either or . A set of disjoint 2-intervals is -comparable, for some and , if every pair of 2-intervals in are -comparable for some . Given a set of 2-intervals and some , the objective of the \emph{2-interval pattern problem} is to find a largest subset of 2-intervals that is -comparable. The 2-interval pattern problem is known to be -hard when and -hard when (except for , which is solvable in quadratic time). In this paper, we fully settle the parameterized complexity of the problem by showing it to be -hard for both and (when parameterized by the size of an optimal solution); this answers an open question posed by Vialette [Encyclopedia of Algorithms, 2008].
Keywords
Cite
@article{arxiv.2002.05099,
title = {Parameterized Complexity of Two-Interval Pattern Problem},
author = {Prosenjit Bose and Saeed Mehrabi and Debajyoti Mondal},
journal= {arXiv preprint arXiv:2002.05099},
year = {2020}
}
Comments
11 pages, 6 figures