Open Access
2022 Large deviations of convex polyominoes
Ilya Soloveychik, Vahid Tarokh
Author Affiliations +
Electron. J. Probab. 27: 1-19 (2022). DOI: 10.1214/22-EJP835

Abstract

Many open problems in machine learning, pattern recognition, and geometric analysis require enumeration of different types of lattice polygons, and in particular convex polyominoes. In this work, we develop a large deviation principle for convex polyominoes under different restrictions, such as fixed area and/or perimeter.

Funding Statement

This work was supported in part by ONR grant No. N000141812244.

Citation

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Ilya Soloveychik. Vahid Tarokh. "Large deviations of convex polyominoes." Electron. J. Probab. 27 1 - 19, 2022. https://doi.org/10.1214/22-EJP835

Information

Received: 7 June 2020; Accepted: 27 July 2022; Published: 2022
First available in Project Euclid: 22 August 2022

MathSciNet: MR4474535
zbMATH: 1498.05028
Digital Object Identifier: 10.1214/22-EJP835

Subjects:
Primary: 05A16 , 05B50 , 05E10 , 60F10

Keywords: convex polyominoes , large deviation principle , pattern recognition , Young diagrams

Vol.27 • 2022
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