Stabbing Rectangles by Line Segments - How Decomposition Reduces the Shallow-Cell Complexity

TL;DR

This paper studies the geometric problem of stabbing axis-aligned rectangles with minimal total length line segments, introduces a decomposition technique to achieve constant-factor approximations, and extends results to related variants.

Contribution

It presents a novel decomposition method that reduces shallow-cell complexity, enabling constant-factor approximation algorithms for the stabbing problem and its variants.

Findings

Achieved constant-factor approximation for the stabbing problem.

Extended approximation results to variants with horizontal and vertical segments.

Decomposition technique reduces shallow-cell complexity for better algorithms.

Abstract

We initiate the study of the following natural geometric optimization problem. The input is a set of axis-aligned rectangles in the plane. The objective is to find a set of horizontal line segments of minimum total length so that every rectangle is stabbed by some line segment. A line segment stabs a rectangle if it intersects its left and its right boundary. The problem, which we call Stabbing, can be motivated by a resource allocation problem and has applications in geometric network design. To the best of our knowledge, only special cases of this problem have been considered so far. Stabbing is a weighted geometric set cover problem, which we show to be NP-hard. A constrained variant of Stabbing turns out to be even APX-hard. While for general set cover the best possible approximation ratio is $\Theta(\log n)$, it is an important field in geometric approximation algorithms to obtain better ratios for geometric set cover problems. Chan et al. [SODA'12] generalize earlier results by Varadarajan [STOC'10] to obtain sub-logarithmic performances for a broad class of weighted geometric set cover instances that are characterized by having low shallow-cell complexity. The shallow-cell complexity of Stabbing instances, however, can be high so that a direct application of the framework of Chan et al. gives only logarithmic bounds. We still achieve a constant-factor approximation by decomposing general instances into what we call laminar instances that have low enough complexity. Our decomposition technique yields constant-factor approximations also for the variant where rectangles can be stabbed by horizontal and vertical segments and for two further geometric set cover problems.