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Issue title: Computational Aspects of Tomographic and Neuroscientific Problems
Guest editors: Sara Brunetti, Paolo Dulio, Andrea Frosini and Grzegorz Rozenberg
Article type: Research Article
Authors: Duchi, Enricaa | Guerrini, Veronicab | Rinaldi, Simonec; *
Affiliations: [a] Institut de Recherche en Informatique Fondamentale (IRIF), Université Paris Diderot, Paris, France. [email protected] | [b] Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, Siena, Italy. [email protected] | [c] Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, Siena, Italy. [email protected]
Correspondence: [*] Address for correspondence: Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche, Università di Siena, Siena, Italy
Abstract: In this paper we study the family of permutations avoiding the pattern 122+3 (trivially equivalent to those avoiding 123⎵4), which extend the popular 123-avoiding permutations. In particular we provide an algorithmic description of a generating tree for these permutations, that is a way to build every object of a given size n + 1 in a unique way by performing local modifications on an object of size n. Our algorithm leads to a direct bijection between 123⎵4-avoiding permutations and valley-marked Dyck paths. It extends a known bijection between 123-avoiding permutations and Dyck paths, and makes explicit the connection between these objects that was earlier obtained by Callan through a series of non-trivial bijective steps. In particular our construction is simple enough to allow for efficient exhaustive generation.
Keywords: Pattern Avoiding Permutations, Generating Trees, 1-23-4 Avoiding Permutations, Valley Marked Dyck Paths
DOI: 10.3233/FI-2018-1730
Journal: Fundamenta Informaticae, vol. 163, no. 1, pp. 21-39, 2018
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