Classifying rational polygons with small denominator and few interior lattice points
Martin Bohnert, Justus Springer

TL;DR
This paper introduces algorithms for classifying rational polygons with fixed denominator and interior lattice points, generating a large dataset of diverse polygons by describing maximal polygons and their subpolygons with redundancy elimination.
Contribution
The paper presents a novel classification method for rational polygons with fixed parameters, including a systematic approach to generate and eliminate redundant cases.
Findings
Generated a dataset of billions of polygons
Successfully classified diverse rational polygons
Developed algorithms for maximal and subpolygon enumeration
Abstract
We present algorithms for classifying rational polygons with fixed denominator and number of interior lattice points. Our approach is to first describe maximal polygons and then compute all subpolygons, where we eliminate redundancy by a suitable normal form. Executing our classification, we obtained a dataset of several billions of polygons covering a wide variety of cases.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Advanced Numerical Analysis Techniques · Digital Image Processing Techniques
