We study the family of skew polyominoes, an intermediate class between 𝐿-convex and 4-stack polyominoes, defined by geometrical constraints satisfied by pairs of rows/columns. The problem of enumerating this family according to the semi-perimeter (size) is open, and can lead to a simplified enumeration of 𝑍-convex polyominoes. We define a recursive method for the exhaustive generation of these objects of given size, based on generating trees. In practice, we introduce a set of operations on skew polyominoes, which perform local expansions on the objects, and such that every skew polyomino of size 𝑛 + 1 is uniquely generated from one of size 𝑛. This leads to a simple algorithm for the exhaustive generation of skew polyominoes of size 𝑛 in constant amortized time.

Generation of Skew Convex Polyominoes / andrea frosini; michela ascolese; simone rinaldi. - ELETTRONICO. - 3811:(2024), pp. 133-145. (Intervento presentato al convegno Italian Conference on Theoretical Computer Science 2024).

Generation of Skew Convex Polyominoes

andrea frosini;michela ascolese;
2024

Abstract

We study the family of skew polyominoes, an intermediate class between 𝐿-convex and 4-stack polyominoes, defined by geometrical constraints satisfied by pairs of rows/columns. The problem of enumerating this family according to the semi-perimeter (size) is open, and can lead to a simplified enumeration of 𝑍-convex polyominoes. We define a recursive method for the exhaustive generation of these objects of given size, based on generating trees. In practice, we introduce a set of operations on skew polyominoes, which perform local expansions on the objects, and such that every skew polyomino of size 𝑛 + 1 is uniquely generated from one of size 𝑛. This leads to a simple algorithm for the exhaustive generation of skew polyominoes of size 𝑛 in constant amortized time.
2024
Proceedings of the 25th Italian Conference on Theoretical Computer Science
Italian Conference on Theoretical Computer Science 2024
andrea frosini; michela ascolese; simone rinaldi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1400373
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