An algorithmic pipeline for solving equations over discrete dynamical systems modelling hypothesis on real phenomena

نویسندگان

چکیده

This paper provides an algorithmic pipeline for studying the intrinsic structure of a finite discrete dynamical system (DDS) modelling evolving phenomenon. Here, by we mean, regarding dynamics DDS under observation, feature resulting from ‘cooperation’ two or more smaller DDS. The is described equation over which represents hypothesis phenomenon observation. allows solving such equation, i.e., validating phenomenon, as far asymptotic behaviour and number states observation are concerned. results about soundness completeness they obtained exploiting algebraic setting introduced in Dennunzio et al. (2018).

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ژورنال

عنوان ژورنال: Journal of Computational Science

سال: 2023

ISSN: ['1877-7511', '1877-7503']

DOI: https://doi.org/10.1016/j.jocs.2022.101932