# Minimum Ply Covering of Points with Disks and Squares

## TL;DR

This paper introduces the minimum ply covering problem, providing approximation algorithms for covering points with disks and squares, and explores variants including colorability constraints and weighted intervals in one dimension.

## Contribution

It presents the first 2-approximation algorithms for minimum ply covering with unit disks and squares, and introduces solutions for colorability constraints and weighted interval variants.

## Key findings

- NP-hardness and approximation bounds established for unit disks and squares
- Polynomial-time 2-approximation algorithms developed for these problems
- Efficient algorithm for weighted interval covering in one dimension

## Abstract

Following the seminal work of Erlebach and van Leeuwen in SODA 2008, we introduce the minimum ply covering problem. Given a set $P$ of points and a set $S$ of geometric objects, both in the plane, our goal is to find a subset $S'$ of $S$ that covers all points of $P$ while minimizing the maximum number of objects covering any point in the plane (not only points of $P$). For objects that are unit squares and unit disks, this problem is NP-hard and cannot be approximated by a ratio smaller than 2. We present 2-approximation algorithms for this problem with respect to unit squares and unit disks. Our algorithms run in polynomial time when the optimum objective value is bounded by a constant. Motivated by channel-assignment in wireless networks, we consider a variant of the problem where the selected unit disks must be 3-colorable, i.e., colored by three colors such that all disks of the same color are pairwise disjoint. We present a polynomial-time algorithm that achieves a 2-approximate solution, i.e., a solution that is 6-colorable. We also study the weighted version of the problem in dimension one, where $P$ and $S$ are points and weighted intervals on a line, respectively. We present an algorithm that solves this problem in $O(n + m + M )$-time where $n$ is the number of points, $m$ is the number of intervals, and $M$ is the number of pairs of overlapping intervals. This repairs a solution claimed by Nandy, Pandit, and Roy in CCCG 2017.