Computing Smallest Convex Intersecting Polygons
Antonios Antoniadis, Mark de Berg, S\'andor Kisfaludi-Bak, Antonis, Skarlatos

TL;DR
This paper develops approximation algorithms and exact solutions for finding the smallest convex polygon intersecting a set of objects, including convex polygons and segments, optimizing perimeter and area.
Contribution
It introduces an FPTAS for minimum-perimeter and minimum-area convex intersecting polygons for convex objects, and an exact polynomial-time algorithm for segments.
Findings
FPTAS for convex polygons with total complexity n
Exact polynomial algorithm for segments
Extends known algorithms beyond lines and disjoint segments
Abstract
A polygon C is an intersecting polygon for a set O of objects in the plane if C intersects each object in O, where the polygon includes its interior. We study the problem of computing the minimum-perimeter intersecting polygon and the minimum-area convex intersecting polygon for a given set O of objects. We present an FPTAS for both problems for the case where O is a set of possibly intersecting convex polygons in the plane of total complexity n. Furthermore, we present an exact polynomial-time algorithm for the minimum-perimeter intersecting polygon for the case where O is a set of n possibly intersecting segments in the plane. So far, polynomial-time exact algorithms were only known for the minimum perimeter intersecting polygon of lines or of disjoint segments.
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