Score: 2

Polygon Containment and Translational Min-Hausdorff-Distance between Segment Sets are 3SUM-Hard

Published: December 16, 2025 | arXiv ID: 2512.14184v1

By: Gill Barequet, Sariel Har-Peled

BigTech Affiliations: Johns Hopkins University

Potential Business Impact:

Makes it harder for computers to fit shapes.

Business Areas:
Quantum Computing Science and Engineering

The 3SUM problem represents a class of problems conjectured to require $Ω(n^2)$ time to solve, where $n$ is the size of the input. Given two polygons $P$ and $Q$ in the plane, we show that some variants of the decision problem, whether there exists a transformation of $P$ that makes it contained in $Q$, are 3SUM-Hard. In the first variant $P$ and $Q$ are any simple polygons and the allowed transformations are translations only; in the second and third variants both polygons are convex and we allow either rotations only or any rigid motion. We also show that finding the translation in the plane that minimizes the Hausdorff distance between two segment sets is 3SUM-Hard.

Country of Origin
🇺🇸 🇮🇱 United States, Israel

Page Count
9 pages

Category
Computer Science:
Computational Geometry