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Main Authors: Ghosh, Nandana, Gupta, Rakesh, Acharyya, Ankush
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.13209
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author Ghosh, Nandana
Gupta, Rakesh
Acharyya, Ankush
author_facet Ghosh, Nandana
Gupta, Rakesh
Acharyya, Ankush
contents A $1.5$D terrain is a simple polygon bounded by a line segment $\ell$ and a polygonal chain monotone with respect to the line segment $\ell$. Usually, $\ell$ is chosen aligned to the $x$-axis, and is called the base of the terrain. In this paper, we consider the problem of finding a convex quadrilateral of largest area inside a $1.5$D terrain in $\mathbb{R}^2$. We present an $O(n^2)$ time algorithm for this problem, where $n$ is the number of vertices of the terrain. Finally, we show that the largest area axis-parallel rectangle inside the terrain yields a $\frac{1}{2}$-approximation result to the largest convex quadrilateral problem.
format Preprint
id arxiv_https___arxiv_org_abs_2511_13209
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle In search of the Giant Convex Quadrilateral hidden in the Mountains
Ghosh, Nandana
Gupta, Rakesh
Acharyya, Ankush
Computational Geometry
A $1.5$D terrain is a simple polygon bounded by a line segment $\ell$ and a polygonal chain monotone with respect to the line segment $\ell$. Usually, $\ell$ is chosen aligned to the $x$-axis, and is called the base of the terrain. In this paper, we consider the problem of finding a convex quadrilateral of largest area inside a $1.5$D terrain in $\mathbb{R}^2$. We present an $O(n^2)$ time algorithm for this problem, where $n$ is the number of vertices of the terrain. Finally, we show that the largest area axis-parallel rectangle inside the terrain yields a $\frac{1}{2}$-approximation result to the largest convex quadrilateral problem.
title In search of the Giant Convex Quadrilateral hidden in the Mountains
topic Computational Geometry
url https://arxiv.org/abs/2511.13209