rectangle stabbing

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For errata and more stuff, see \url{https://sarielhp.org/book/}
Note that unless specifically stated, we always consider the RAM model.
\section{Grid}
\begin{exercise}\label{ex1.1}
Let $P$ be a max cardinality point set contained in the $d$-dimensional unit hypercube such that the smallest distance of point pairs in $P$ is 1. Prove that
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\end{exercise}
\section*{Not in the book}
\begin{problem}[$d$-dimensional rectangle stabbing \cite{gaur_constant_2002}]
Given a set $R$ of $n$ axis-parallel rectangles and a set $L$ of axis-parallel real lines, find the minimum subset of $L$ such that every rectangle is stabbed by at least one line in the subset.
\end{problem}
This problem is NP-hard even for the 2D case. There is a LP rounding method which gives a $d$-approximation. Let $K_i$ be the subset of $d$th-axis parallel lines in $L$. For a rectangle $r$, denote by $K_i[r]$ the set of lines in $K_i$ that stab $r$. Consider the following LP.
\begin{equation*}
\begin{aligned}
\min& & \sum_{i\in [d]} \sum_{\ell \in K_i} x_\ell& & & \\
s.t.& & \sum_{i\in [d]} \sum_{\ell \in K_i[r]} x_\ell&\geq 1 & &\forall r\in R\\
& & x_\ell&\geq 0 & &\forall \ell\in L
\end{aligned}
\end{equation*}
Let $\set{x^*_\ell: \ell\in L}$ be the optimal solution to the above LP. For each $r$, there must be some $i\in [d]$ such that $\sum_{\ell \in K_i[r]}x^*_\ell \geq 1/d$.
\bibliographystyle{alpha}
\bibliography{ref}
\end{document}

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@article{gaur_constant_2002,
title = {Constant {Ratio} {Approximation} {Algorithms} for the {Rectangle} {Stabbing} {Problem} and the {Rectilinear} {Partitioning} {Problem}},
volume = {43},
issn = {0196-6774},
url = {https://www.sciencedirect.com/science/article/pii/S0196677402912216},
doi = {10.1006/jagm.2002.1221},
number = {1},
urldate = {2025-08-16},
journal = {Journal of Algorithms},
author = {Gaur, Daya Ram and Ibaraki, Toshihide and Krishnamurti, Ramesh},
month = apr,
year = {2002},
keywords = {approximation algorithms, combinatorial optimization, rectangle stabbing, rectilinear partitioning},
pages = {138--152},
}