On the approximability of covering points by lines and related problems

TL;DR

This paper investigates the computational complexity and approximation limits of covering points with lines and related geometric problems, establishing new hardness bounds and analyzing approximation ratios.

Contribution

It provides a lower bound on the greedy algorithm's approximation ratio for covering points by lines and proves several related problems are APX-hard or NP-hard.

Findings

Greedy algorithm has an  lower bound on approximation ratio.

Several related geometric problems are shown to be APX-hard or NP-hard.

The hardness proof for Min-Max-Turn Hamiltonian Tour offers insights into bounded-turn Hamiltonian problems.

Abstract

Given a set $P$ of $n$ points in the plane, {\sc Covering Points by Lines} is the problem of finding a minimum-cardinality set $\L$ of lines such that every point $p \in P$ is incident to some line $\ell \in \L$. As a geometric variant of {\sc Set Cover}, {\sc Covering Points by Lines} is still NP-hard. Moreover, it has been proved to be APX-hard, and hence does not admit any polynomial-time approximation scheme unless P $=$ NP\@. In contrast to the small constant approximation lower bound implied by APX-hardness, the current best approximation ratio for {\sc Covering Points by Lines} is still $O(\log n)$, namely the ratio achieved by the greedy algorithm for {\sc Set Cover}. In this paper, we give a lower bound of $\Omega(\log n)$ on the approximation ratio of the greedy algorithm for {\sc Covering Points by Lines}. We also study several related problems including {\sc Maximum Point Coverage by Lines}, {\sc Minimum-Link Covering Tour}, {\sc Minimum-Link Spanning Tour}, and {\sc Min-Max-Turn Hamiltonian Tour}. We show that all these problems are either APX-hard or at least NP-hard. In particular, our proof of APX-hardness of {\sc Min-Max-Turn Hamiltonian Tour} sheds light on the difficulty of {\sc Bounded-Turn-Minimum-Length Hamiltonian Tour}, a problem proposed by Aggarwal et al.\ at SODA 1997.