A Decomposition of Column-Convex Polyominoes and Two Vertex Statistics

Nenad Cakić, Toufik Mansour, Gökhan Yıldırım

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce a decomposition method for column-convex polyominoes and enumerate them in terms of two statistics: the number of internal vertices and the number of corners in the boundary. We first find the generating function for the column-convex polyominoes according to the horizontal and vertical half-perimeter, and the number of interior vertices. In particular, we show that the average number of interior vertices over all column-convex polyominoes of perimeter 2n is asymptotic to αon3 / 2 where αo≈ 0.57895563 …. We also find the generating function for the column-convex polyominoes according to the horizontal and vertical half-perimeter, and the number of corners in the boundary. In particular, we show that the average number of corners over all column-convex polyominoes of perimeter 2n is asymptotic to α1n where α1≈ 1.17157287 ….

Original languageEnglish
Article number9
JournalMathematics in Computer Science
Volume16
Issue number1
DOIs
StatePublished - Mar 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Keywords

  • Bondary vertices
  • Interior vertices
  • Kernel method
  • Polyominoes

ASJC Scopus subject areas

  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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